Technology
Mynd Announces Fiscal Year 2024 Results
Published
2 years agoon
By
Highlights Include Sale of a Non-strategic Business Unit, Significant Reduction of Debt, and Implementation of a Share Repurchase Program to Strengthen the Company and Enhance Long Term Shareholder Value
SEATTLE, March 26, 2025 /PRNewswire/ — Mynd.ai, Inc. (the “Company” or “Mynd”) (NYSE American: MYND) today announced financial results for the fiscal year ended December 31, 2024.
Revenue of $267.4 million for the full year, compared to $411.8 million in the prior year with the decrease primarily driven by the headwinds in the overall education market due to normalization to pre-pandemic levels
Gross Margin improved 40 basis points versus 2023 to 24.8%, largely due to optimization of cost of materials, warranty, and freight costs
Operating loss improved by $8.0 million to $38.0 million, as compared to $46.0 million in 2023
Net loss from continuing operations, before income taxes totaled $35.7 million, a $12.7 million improvement compared to 2023
Cash balance at year-end of $75.3 million, compared to $87.8 million in 2023
Reduced outstanding indebtedness at year-end by $21.0 million
Repurchased 151,923 American Depositary Shares, representing 1,519,230 ordinary shares, pursuant to our share repurchase program
“We are very pleased with the progress our team made during 2024, our first full year as a public company,” said Vin Riera, Chief Executive Officer. “We feel that completing the sale of our non-strategic early childhood development business unit in October 2024, paying down debt, optimizing our cost structure, and initiating a share repurchase program were all meaningful steps towards strengthening our company. Despite a number of industry-wide challenges in the education sector stemming from inflation, threat of tariffs and uncertainty around Federal funding for education, we were able to capitalize on our brand loyalty, significant install base of over one million classrooms and strong distributor and partner network to maintain our strong market presence.”
Arthur Giterman, Chief Financial Officer, added, “Our financial performance in 2024 reflects our commitment to improving operational efficiency to help combat significant industry headwinds impacting our interactive flat panel display business. Year over year, the Company made improvements in our gross margin and significantly reduced both our operating loss as well as our net loss from operations. Although we expect economic headwinds to continue during 2025, we are actively responding by continuing to optimize our operating cost structure, enhancing our go-to-market strategy and expanding our portfolio of product offerings. We are excited about the warm reception that our recently launched ActivPanel 10 and its modular infrastructure has received, and believe that providing our customers with the ability to select their preferred operating system will better position the Company to more effectively compete in the market.”
Forward-Looking Statements
This press release contains “forward-looking statements,” as defined by federal securities laws. Forward-looking statements reflect Mynd’s current expectations and projections about future events at the time and thus involve uncertainty and risk. The words “believe,” “expect,” “anticipate,” “will,” “could,” “would,” “should,” “may,” “plan,” “estimate,” “intend,” “predict,” “potential,” “continue,” “optimistic,” and the negatives of these words and other similar expressions generally identify forward looking statements. Such forward-looking statements are subject to various risks and uncertainties, including those described under the section entitled “Risk Factors” in Mynd’s Annual Report on Form 20-F, filed with the SEC on March 26, 2025, as such factors may be updated from time to time in Mynd’s periodic filings with the SEC, which are accessible on the SEC’s website at www.sec.gov. Accordingly, there are or will be important factors that could cause actual outcomes or results to differ materially from those indicated in these statements. These factors should not be construed as exhaustive and should be read in conjunction with the other cautionary statements that are included in this release and in Mynd’s filings with the SEC. While forward-looking statements reflect Mynd’s good faith beliefs, they are not guarantees of future performance. Mynd disclaims any obligation to publicly update or revise any forward-looking statement to reflect changes in underlying assumptions or factors, new information, data or methods, future events or other changes after the date of this press release, except as required by applicable law. You should not place undue reliance on any forward-looking statements, which are based only on information currently available to Mynd (or to third parties making the forward-looking statements).
Discussion of non-GAAP Financial Measures
We believe that providing non-GAAP (“Generally Accepted Accounting Principles”) information to investors, in addition to the GAAP presentation, allows investors to view the financial results in the way management views the operating results. We further believe that providing this information allows investors not only to better understand our financial performance, but more importantly, to evaluate the efficacy of the methodology and information used by management to evaluate and measure such performance. The non-GAAP information included in this press release should not be considered superior to, or a substitute for, financial statements prepared in accordance with GAAP.
We utilize a number of different financial measures, both GAAP and non-GAAP, in analyzing and assessing the overall performance of the business, for making operating decisions and for forecasting and planning for future periods. Our annual financial plan is prepared both on a GAAP and non-GAAP basis, and the non-GAAP annual financial plan is approved by our board of directors. Continuous budgeting and forecasting for revenue and expenses are conducted on a consistent non-GAAP basis, in addition to GAAP, and actual results on a non-GAAP basis are assessed against the non-GAAP annual financial plan. In addition, and as a consequence of the importance of these measures in managing the business, we use non-GAAP measures and results in the evaluation process to establish management’s compensation. For example, our annual bonus program payments are based in part upon the achievement of consolidated revenue and Adjusted EBITDA targets.
About Mynd.ai, Inc.
Seattle-based Mynd is a global leader in interactive technology offering best-in-class hardware and software solutions that help organizations create and deliver dynamic content; simplify and streamline teaching, learning, and communication; and facilitate real-time collaboration. Our award-winning interactive displays and software can be found in more than 1 million learning and training spaces across 126 countries. Our global distribution network of more than 4,000 reseller partners and our dedicated sales and support teams around the world enable us to deliver the highest level of service to our customers.
Financial Tables Follow
Mynd.ai. Inc.
CONSOLIDATED BALANCE SHEETS
(In thousands of U.S. dollars, except share and per share data, or otherwise noted)
As of December 31,
2024
2023
ASSETS
Current assets:
Cash and cash equivalents
$ 75,317
$ 87,804
Accounts receivable, net of allowance for credit losses of $211 and $2,599, respectively
30,506
63,736
Inventories
28,638
53,944
Prepaid expenses and other current assets
11,601
14,408
Due from related parties
1,561
1,683
Current assets of discontinued operations
—
5,590
Total current assets
147,623
227,165
Non-current assets:
Goodwill
44,130
44,928
Property, plant, and equipment, net
14,595
7,037
Intangible assets, net
39,521
43,700
Right-of-use assets
3,448
2,413
Deferred tax assets, net
34
58,035
Other non-current assets
3,268
1,810
Non-current assets of discontinued operations
—
21,949
Total non-current assets
104,996
179,872
Total assets
$ 252,619
$ 407,037
LIABILITIES AND SHAREHOLDERS’ EQUITY
Current liabilities:
Accounts payable
$ 40,485
$ 59,138
Accrued expenses and other current liabilities
45,959
49,134
Loans payable, current
10,931
31,942
Contract liabilities
11,281
14,004
Accrued warranties
15,749
17,871
Lease liabilities, current
1,047
1,618
Due to related parties
4,621
5,061
Current liabilities of discontinued operations
—
7,404
Total current liabilities
130,073
186,172
Non-current liabilities:
Loans payable, non-current
58,077
64,859
Loans payable, related parties, non-current
5,006
4,670
Contract liabilities, non-current
18,581
21,762
Lease liabilities, non-current
2,761
1,030
Deferred tax liabilities
9,756
—
Non-current liabilities of discontinued operations
—
7,950
Total non-current liabilities
94,181
100,271
Total liabilities
224,254
286,443
Shareholders’ equity:
Ordinary shares par value of $0.001; 990,000,000 shares authorized. 456,477,820
shares issued and 454,958,590 shares outstanding as of December 31, 2024.
456,477,820 shares issued and outstanding as of December 31, 2023.
10,000,000 shares, $0.001 par value, without designation; none authorized, issued
and outstanding as of December 31, 2024 and 2023.
456
456
Treasury shares, at cost, 1,519,230 and none shares, respectively
(342)
—
Additional paid-in capital
479,480
473,590
Accumulated other comprehensive income
3,344
3,513
Accumulated deficit
(454,573)
(358,854)
Total Mynd.ai, Inc. shareholders’ equity
28,365
118,705
Non-controlling interest
—
1,889
Total shareholders’ equity
28,365
120,594
Total liabilities and shareholders’ equity
$ 252,619
$ 407,037
Mynd.ai. Inc.
CONSOLIDATED STATEMENTS OF OPERATIONS
(In thousands of U.S. dollars, except share and per share data, or otherwise noted)
Year Ended December 31,
2024
2023
2022
Revenue
$ 267,381
$ 411,757
$ 584,684
Cost of revenue
201,140
311,272
443,598
Gross profit
66,241
100,485
141,086
Operating expenses, net:
General and administrative
33,427
30,964
34,608
Research and development
25,253
34,604
41,459
Sales and marketing
42,115
51,477
60,848
Transaction-related costs
—
19,288
502
Restructuring
3,484
10,195
238
Total operating expenses
104,279
146,528
137,655
Operating (loss) income
(38,038)
(46,043)
3,431
Other income (expense):
Interest expense
(10,371)
(4,658)
(1,833)
Interest income
2,659
223
6
Gain on embedded derivative
11,389
432
—
Gain on forgiveness of debt
—
—
4,923
Other (expense) income
(1,384)
1,598
591
Total other income (expense)
2,293
(2,405)
3,687
Net (loss) income from continuing operations, before income taxes
(35,745)
(48,448)
7,118
Income tax (expense) benefit
(68,732)
9,658
25,982
Net (loss) income from continuing operations
(104,477)
(38,790)
33,100
Income (loss) from discontinued operations, net of tax
8,725
(605)
(12,637)
Net (loss) income
(95,752)
(39,395)
20,463
Net (loss) income from continuing operations attributable to non-
controlling interests
—
—
—
Net (loss) income from discontinued operations attributable to
non-controlling interests
(33)
33
—
Net (loss) income attributable to non-controlling interests
(33)
33
—
Net (loss) income from continuing operations attributable to
ordinary shareholders
(104,477)
(38,790)
33,100
Net income (loss) from discontinued operations attributable to
ordinary shareholders
8,758
(638)
(12,637)
Net (loss) income attributable to ordinary shareholders
$ (95,719)
$ (39,428)
$ 20,463
Net (loss) income per ordinary share
From continuing operations: Basic and Diluted
$ (0.23)
$ (0.09)
$ 0.08
From discontinued operations: Basic and Diluted
$ 0.02
$ (0.00)
$ (0.03)
Total basic and diluted
$ (0.21)
$ (0.09)
$ 0.05
Weighted average shares outstanding used in calculating net (loss)
income per share: Basic and diluted
456,471,923
427,986,755
426,422,220
Mynd.ai. Inc.
CONSOLIDATED STATEMENTS OF COMPREHENSIVE (LOSS) INCOME
(in thousands)
Year Ended December 31,
2024
2023
2022
Net (loss) income
$ (95,752)
$ (39,395)
$ 20,463
Other comprehensive (loss) income, net of tax of nil:
Change in foreign currency translation reserve
497
(1,033)
(3,367)
Release of foreign currency translation reserve to net loss as a
result of disposition
(566)
—
—
Total comprehensive (loss) income
(95,821)
(40,428)
17,096
Less: comprehensive income attributable to non-controlling
interest
67
33
—
Comprehensive (loss) income attributable to Mynd.ai Inc.
$ (95,888)
$ (40,461)
$ 17,096
Mynd.ai. Inc.
CONSOLIDATED STATEMENTS OF CASH FLOWS
(in thousands)
Year Ended December 31,
2024
2023
2022
CASH FLOWS FROM OPERATING ACTIVITIES:
Net (loss) income
$ (95,752)
$ (39,395)
$ 20,463
(Income) loss from discontinued operations, net of tax
(8,725)
605
12,637
Net (loss) income from continuing operations
(104,477)
(38,790)
33,100
Adjustments to reconcile net (loss) income from continuing operations to net
cash (used in) provided by operating activities:
Depreciation and amortization
5,698
4,973
4,520
Deferred taxes
67,669
(10,828)
(25,982)
Non-cash lease expense
1,737
1,958
1,818
Non-cash interest expenses
4,844
325
—
Gain on forgiveness of debt
—
—
(4,923)
Share-based compensation
3,698
—
—
Amortization of RDEC credit
(1,182)
(839)
(460)
Accrued tax credit RDEC
—
(1,732)
—
Change in fair value of derivative liability
(11,389)
(432)
—
Increase in inventory provision
—
4,630
3,951
Write-off of prepaid subscriptions
—
5,668
—
Other
90
71
30
Change in operating assets and liabilities:
Accounts receivable
33,365
(679)
25,346
Inventories
25,251
54,734
(20,003)
Prepaid expenses and other assets
1,270
(5,482)
701
Prepaid subscriptions
—
1,632
(7,300)
Due from related parties
533
482
(4,376)
Accounts payable
(17,675)
(23,651)
(1,820)
Accrued expenses and other liabilities
(2,439)
(1,329)
(10,225)
Accrued warranties
(2,037)
3,883
3,266
Due to related parties
1,491
1,083
3,469
Contract liabilities
(5,743)
6,966
7,779
Lease obligations – operating leases
(1,579)
(1,903)
(2,084)
Net cash (used in) provided by operating activities – continuing operations
(875)
740
6,807
Net cash provided by (used in) operating activities – discontinued operations
1,661
(3,098)
(12,079)
Net cash provided by (used in) provided by operating activities
786
(2,358)
(5,272)
CASH FLOWS FROM INVESTING ACTIVITIES:
Acquisition of property, plant and equipment
(1,283)
(389)
(829)
Internal-use software development costs
(8,465)
(4,434)
(1,028)
Repayment (issuance) of loan receivable, related party
—
8,019
(7,919)
Proceeds from disposition of GEH Singapore
20,000
—
—
Acquisition of businesses, net of cash
—
10,375
(6,000)
Net cash provided by (used in) investing activities – continuing operations
10,252
13,571
(15,776)
Net cash used in investing activities – discontinued operations
(5,942)
5,763
—
Net cash provided by (used in) investing activities
4,310
19,334
(15,776)
CASH FLOWS FROM FINANCING ACTIVITIES:
Repayment of Revolver
(38,000)
(80,300)
(49,305)
Debt issuance costs paid
(90)
—
—
Proceeds from Revolver
17,000
62,000
63,000
Proceeds from convertible note
—
64,884
—
Contingent consideration payments
(1,007)
(2,174)
—
Repayment of Paycheck Protection Program Loan
(192)
(192)
(5)
Repayment of NetDragon group loans
—
—
(3,210)
Proceeds from NetDragon group loans
—
219
869
Share repurchase
(342)
—
—
Net cash (used in) provided by financing activities – continuing operations
(22,631)
44,437
11,349
Net cash provided by financing activities – discontinued operations
—
—
—
Net cash (used in) provided by financing activities
(22,631)
44,437
11,349
Net change in cash
(17,535)
61,413
(9,699)
Cash and cash equivalents, beginning of year
91,784
29,312
40,508
Exchange rate effects
1,068
1,059
(1,497)
Cash and cash equivalents, end of year
$ 75,317
$ 91,784
$ 29,312
Supplemental disclosure of non-cash investing and financing activities
transactions:
Continuing operations:
Convertible notes issued in exchange for accrued PIK interest
$ 3,309
$ —
$ —
Decrease in goodwill due to measurement period adjustments relating to
business acquisition, net
$ 1,228
$ —
$ —
Lease assets acquired in exchange for lease liabilities
$ 2,838
$ —
$ —
Forgiveness of related party payables
$ 2,412
$ —
$ —
Accrued purchase price related to acquisition of businesses
$ —
$ —
$ 1,688
Accrued value of earnout related to acquisition of businesses
$ —
$ —
$ 377
Noncash consideration transferred for acquisition of businesses
$ —
$ 22,848
$ —
Discontinued operations:
Lease assets acquired in exchange for lease liabilities
$ 5,044
$ —
$ —
Supplemental disclosure of cash transactions:
Cash paid for interest
$ 5,387
$ 5,223
$ —
Cash received for tax refunds, net
$ 1,397
$ 914
$ 969
Cash flows are presented on a consolidated basis and cash and cash equivalents presented in current assets of discontinued operations in the consolidated balance sheets as of December 31, 2023 were $3,980.
Mynd.ai. Inc.
SUPPLEMENTAL FINANCIAL INFORMATION
Reconciliation of Net Income to Adjusted EBITDA
(in thousands)
Year Ended December 31,
2024
2023
2022
(in thousands)
Net (loss) income
$ (95,752)
$ (39,395)
$ 20,463
(Income) loss from discontinued operations, net of tax
(8,725)
605
12,637
Interest expense
10,371
4,658
1,833
Interest income
(2,659)
(223)
(6)
Income tax expense (benefit)
68,732
(9,658)
(25,982)
Depreciation and amortization
5,698
4,973
4,520
Share-based compensation
3,698
—
—
Gain on embedded derivative
(11,389)
(432)
—
Other expense (income), net
1,384
(1,598)
(591)
Transaction-related costs(1)
—
19,288
502
Restructuring costs(2)
3,484
10,195
238
Litigation costs and penalties(3)
1,021
405
1,046
Gain on forgiveness of debt(4)
—
—
(4,923)
Adjusted EBITDA
$ (24,137)
$ (11,182)
$ 9,737
(1) Transaction-related costs are non-recurring costs related to one or more acquisitions.
(2) Refers to employee severance costs, contract termination costs, facility restructuring, and business restructuring efforts undertaken by management.
(3) Refers to costs incurred to defend against, opportunistically settle, and establish a reserve for claims associated with litigation, as well as any related penalties incurred for such litigation.
(4) Refers to forgiveness of loan provided by the U.S. Small Business Administration provided under the Payroll Protection Program (PPP).
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SOURCE Mynd.ai
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Axon Announces Body 5: Next-Generation Camera Built for the AI Era
Published
5 hours agoon
October 24, 2026By
Axon Body 5 delivers 25x the AI processing power of earlier-generation cameras, with upgraded connectivity, audio and battery life to support real-time situational awareness in the field
SCOTTSDALE, Ariz., Oct. 24, 2026 /PRNewswire/ — Axon (Nasdaq: AXON), the global leader in public safety technology, today announced Axon Body 5, its newest body-worn camera designed to bring more powerful intelligence, connectivity and real-time support directly to officers in the field.
For years, Axon body cameras have helped agencies capture critical evidence and create greater transparency. Body 5 is built to help officers during the call, with information, assistance and backup on the spot.
“Officers shouldn’t have to choose between getting information and watching the scene. With Axon Body 5, they don’t,” said Rick Smith, Axon Founder and CEO. “They capture a license or document with the camera, keep their hands free and eyes up, and get information faster than writing it down and calling it in by radio. An officer fully engaged with the person in front of them, not down at a notepad, is a safer officer and a better-served community.”
Axon Body 5: Built for the AI Era
Built from the ground up for the AI era, Axon Body 5 delivers 25x the AI processing power than earlier generation Axon body cameras, alongside advancements in connectivity, audio, video and battery life. Together, these upgrades give the camera the physical power to run smarter AI features — both today and as new AI tools are developed in the future — while also making it more dependable for officers to use every day.
For the first time, Axon is also introducing two versions of its latest flagship camera: Axon Body 5 and Axon Body 5 Pro.
Both models feature several key advancements, including:
25x more processing power for AI: A powerful new computing architecture creates the capacity to support current and future AI features directly on the body camera.Enhanced video: Improved video captures clearer evidence across challenging environments, including better low-light performance.Improved connectivity: Seamless connectivity in urban and remote environments – and more precise location capability – helps officers, cameras and remote support teams stay connected when timely information matters most.Longer battery life: 20% more battery life than the previous generation helps keep the camera ready and connected throughout an officer’s shift.
The Axon Body 5 Pro will continue to gain new AI capabilities as they become available, growing along with the AI Era Plan. Additionally, new hardware features include:
A near-focus camera: An additional dedicated camera lens lets officers scan driver’s licenses to check status and search for wants or warrants in seconds, without returning to the patrol vehicle, with relevant information sent to Axon Fusus to support real-time operations.Front-facing speakers: Four additional speakers project even more powerful audio toward the person an officer is speaking with, helping real-time translations from Axon Assistant carry more clearly over heavy traffic or crowd noise. Additional memory: Extra space lets the camera run several AI tools at once, helping officers stay better informed and work faster.
Bringing More of Axon’s AI Era Into the Field
Axon Body 5 helps officers get more out of the Axon AI Era Plan by bringing smart tools right to the scene. Axon’s portfolio already supports public safety professionals across a growing range of tasks. For example, Draft One helps officers turn body-camera audio into high-quality report drafts and Axon Assistant provides voice-based information access and real-time translation.
Increasingly, Axon is also bringing AI into real-time operations.
Axon Guardian is a new category of AI features within the AI Era Plan that was specifically created to work with an officer’s field-based devices – starting with body cameras and in-car cameras – to improve safety. Guardian is designed to flag potential risks as situations unfold and create alerts when additional attention may be needed. Two of the first features include:
Escalation Detection: When an Axon Body 4 or Axon Body 5 camera is activated and recording, Guardian has the ability to detect potential conflicts in real time and create an alert in Axon Fusus. A human reviews the livestream and decides if additional support or action is needed.Approach Alert: When active on Axon Fleet 3, Guardian can detect if the door of a stopped vehicle opens and alert the officer through the in-car display and their body-worn camera.
Combined, Axon Body 5 and the expanding AI Era portfolio demonstrate the importance of AI as a critical resource to assist public safety professionals before, during and after an incident — reducing administrative burden, improving situational awareness and helping protect more lives.
Innovating Responsibly
Axon’s Responsible Innovation framework guides the development of all of its products. Designed with this in mind, Axon Body 5 and Guardian prioritize human oversight and maintain agency control over data. As a key part of the responsible innovation process, Axon’s independent Ethics and Equity Advisory Council was created to help responsibly develop and deploy new technologies with transparency, while aligning with community expectations.
General availability dates for Axon Body 5 and Axon Guardian will be announced soon. Product features and capabilities vary by configuration. For more information on Axon’s current products and services: Axon Product Catalog – Axon.com.
About Axon
Axon (Nasdaq: AXON) is the global leader in public safety technology supporting state, local, federal and international public safety agencies with technology designed to Protect Life. Complementing its mission, Axon’s growing Enterprise market focuses on protecting critical infrastructure and frontline workers across multiple industries including corporate security, hospitality, retail and healthcare. Founder-led since 1993, Axon builds products with transparency and responsibility. From TASER energy devices to today’s connected network of hardware – including cameras, drones, and robotics – cloud software, sensors, and AI-tools, the Axon ecosystem helps seamlessly protect people and places when it matters most. To ensure these technologies align with community expectations, Axon’s independent Ethics & Equity Advisory Council guides the ethical, inclusive, and accountable design of its products and services. Learn more about the EEAC and Axon’s Responsible Innovation framework at Axon Responsibility.
Non-Axon trademarks are the property of their respective owners. Axon, TASER and the Delta Logo are trademarks of Axon Enterprise, Inc., some of which are registered in the US and other countries. For more information, visit www.axon.com/legal. All rights reserved.
Please visit https://investor.axon.com and https://www.axon.com/newsroom for more information.
Media Contact:
Kate MacKinnon
Vice President, Communications
press@axon.com
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SOURCE Axon
Technology
In HelloNation, Custom Fabrication Expert Mark Coyle Explains a Common Mistake in Custom Aluminum Design
Published
6 hours agoon
October 24, 2026By
The article explains why smart geometry, not thicker walls, creates stronger, more efficient aluminum components.
ROCHESTER, N.Y., Oct. 24, 2026 /PRNewswire/ — What early design choice causes many custom aluminum projects to become heavier, costlier, or harder to manufacture? That question is addressed in a HelloNation article featuring insights from Custom Fabrication Expert Mark Coyle of American Custom Metals, Inc. in Rochester, New York, that outlines how misunderstanding aluminum behavior leads designers to rely on thick walls instead of stronger geometry.
The article begins by explaining that many people assume thicker walls automatically make aluminum parts stronger. It notes that aluminum does not respond to wall thickness the way steel does. Instead, its performance is shaped by how the metal flows through the extrusion die. The article states that custom aluminum design is more effective when profiles use ribs, chambers, and flanges to create stiffness without adding unnecessary weight. This guidance helps readers understand why adding material often increases cost without improving strength.
The article also highlights that thicker walls change how aluminum moves during extrusion. When heavy areas fill more slowly, the metal cools unevenly and can develop stress that only appears later. The HelloNation piece explains that well-balanced geometry keeps extrusion smooth and predictable. This consistency makes it easier to maintain dimensional accuracy across long production runs. By focusing on geometry, custom aluminum design avoids the problems that come with slow extrusion speeds and uneven cooling.
Another insight in the article centers on how ribs and internal supports influence stability. It describes how a thin wall supported by a properly placed rib often performs better than a thick wall with no reinforcement. This happens because the rib helps distribute load, improve stiffness, and guide the aluminum as it cools. The article explains that this structural approach makes custom aluminum design more efficient and gives designers more control over how the final part behaves under pressure.
The article also shows why early collaboration between designer and fabricator prevents costly changes. It states that a fabricator familiar with extrusion can catch potential issues before a die is built. Small adjustments to corners or transitions can remove weak points or improve metal flow. The article notes that this teamwork keeps the design aligned with real-world production. By working together early, both sides reduce the risk of redesigning the die after the first test run.
Machining is another area where the article explains how wall thickness affects performance. Features such as deep pockets or sharp internal angles may require slow feed rates or special tooling. When walls are thicker than needed, those areas can become difficult to machine cleanly. The article states that thoughtful custom aluminum design makes machining more predictable. Small changes, such as adding radiused edges or sizing features to match standard tools, help shorten cycle times and prevent tool wear.
Thermal behavior receives detailed attention as well. The article explains that aluminum retains heat differently depending on the mass of each section. Thicker walls hold heat longer, which increases the chance of distortion during extrusion, machining, or finishing. When a design uses geometry to create strength, the material cools more evenly. This reduces warping and helps long profiles stay aligned. The article notes that stable cooling is important for components that require a precise fit and consistent shape throughout an entire production run.
Cost is also a key topic in the article. It states that heavier profiles increase material use, extrusion time, and tooling needs. A custom aluminum design that relies on geometry instead of mass lowers material consumption and keeps the fabrication process efficient. The article explains that lighter parts are easier to handle, ship, and assemble. This saves money across multiple stages of production and supports long-term manufacturing efficiency.
The article also notes that smart custom aluminum design creates profiles that behave predictably during extrusion and machining. Smooth transitions, balanced wall dimensions, and structural features help reduce the chance of distortion or dimensional drift. These elements also lower scrap rates and support reliable performance. By using geometry instead of excess material, designers build parts that maintain strength without compromising manufacturability.
As the article concludes, it emphasizes that avoiding thick walls is one of the best ways to improve performance and lower cost. It states that the most dependable custom aluminum components come from designs that use structural features to strengthen the profile. When designers understand how aluminum behaves at each stage of extrusion and machining, they create parts that are strong, efficient, and consistent from batch to batch. This approach turns custom aluminum design into a predictable process rather than a series of uncertain adjustments.
A Common Mistake in Custom Aluminum Design features insights from Mark Coyle, Custom Fabrication Expert of Rochester, NY, in HelloNation.
About HelloNation
HelloNation is America’s Good News Network, a premier media platform built on the idea that good news travels faster when real people tell real stories. Through its community-focused publications and innovative “edvertising” approach, HelloNation delivers content that informs, inspires, and spotlights the leaders making a meaningful impact in their communities.
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SOURCE HelloNation
Technology
World Young Scientist Summit 2026 Opens in Wenzhou, Zhejiang
Published
7 hours agoon
October 24, 2026By
WENZHOU, China, Oct. 24, 2026 /PRNewswire/ — This is a report by China Daily:
On October 24, the World Young Scientist Summit 2026 opened in Wenzhou, Zhejiang. The event is hosted by the China Association for Science and Technology (CAST), the Zhejiang Provincial People’s Government, and the World Association of Young Scientists. Nearly 800 representatives, including scientists, educators, and entrepreneurs from more than 60 countries and regions, are attending the summit.
He Junke, Vice President of CAST in charge of daily work and First Secretary of its Secretariat; Lian Yimin, Chairman and Party Group Secretary of the Zhejiang Provincial Committee of the Chinese People’s Political Consultative Conference; Marcelo Knobel, Executive Director of The World Academy of Sciences; and Zhang Zhenfeng, Member of the Standing Committee of the CPC Zhejiang Provincial Committee and Secretary of the CPC Wenzhou Municipal Committee, attended the summit and delivered remarks. Yao Gaoyuan, Vice Governor of the Zhejiang Provincial People’s Government, presided over the first segment of the plenary session.
With the theme “Gathering Talents Worldwide to Create a Better Future,” the summit’s annual agenda is “Global Youth Action in the AI Era: Building a Sustainable Future.” It aims to draw on the insights of young people around the world, deepen international sci-tech cooperation, and jointly address questions about young people, science, the world and the future.
Efim Zelmanov, Fields Medalist and Foreign Member of the Chinese Academy of Sciences; Chen Yunji, Deputy Director of the Institute of Computing Technology, CAS, and Director of the National Key Laboratory of Processor Chips; Mary Garson, President of the International Union of Pure and Applied Chemistry; and Lu Chaoyang, Member of the Standing Committee of CAST, Executive Dean of the Shanghai Institute of Advanced Study, University of Science and Technology of China, and Chairman of the Council of the World Association of Young Scientists, delivered keynote speeches respectively on education reform in the AI era, AI and processor chips, young women scientists’ participation in science, and quantum computing. They explored new opportunities for scientific research, talent cultivation, and international cooperation in the AI era.
This year’s summit placed greater emphasis on the growth needs of young scientists, with young talents under the age of 45 accounting for 88 percent of participants. It aimed to build a cluster of international journals, bring together young scientific talent, facilitate a batch of international collaborative projects and advance the application and commercialization of scientific and technological achievements. The summit released the Report on the Distribution and Mobility of Young Scientists in the Field of Embodied Intelligence, launched the World Young Scientist Summit Partner Journal Program and the 2026 World Young Scientist Innovation and Entrepreneurship Growth Support Program. It also published the “Young Scientist Pioneers 2035” list and announced the 2026 Sustainable Development Young Scientist Award. The awards were presented to four Chinese and foreign scientists.
Chen Tianrun, Founder of Hangzhou Moxin Technology Co., Ltd.; Yuan Yang, Assistant to the Dean of the Institute for Interdisciplinary Information Sciences at Tsinghua University; and two of the 2026 Sustainable Development Young Scientist Award winners, César de la Fuente and Nicola Segata, among other Chinese and foreign young scientist representatives, spoke at the flash-talk session to share their research practices and reflections.
In addition, the conference focused on fields such as future manufacturing, quantum information, embodied intelligence, brain-computer intelligence, environmental science, deep-sea resources, and life and health, and held 12 parallel forums. It also included the “Gravitation π” Future Technology and Concept Products Exhibition and Exchange, local thematic side events, and sci-tech and humanities study visits, further building an interdisciplinary, cross-regional and cross-sector platform for youth sci-tech exchange and cooperation.
View original content to download multimedia:https://www.prnewswire.com/news-releases/world-young-scientist-summit-2026-opens-in-wenzhou-zhejiang-302918664.html
SOURCE China Daily
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