
Ed Sinkora
Articles
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Apr 4, 2024 |
sme.org | Ed Sinkora
It’s natural to have some healthy skepticism before implementing a new product or process. But it’s hard to argue against real-world results. Tom Bassett II, the founder and owner of 25-person job shop Pro-Cam Services LLC in Zeeland, Mich., recently discovered this regarding presetting. He initially didn’t think the technology was a good fit for his business.
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Jan 25, 2024 |
sme.org | Ed Sinkora
Necessity and opportunity—including unforeseen ones—can be the mother of invention and innovation. Several creative cutting tool manufacturers, for example, used the recent industry slowdown during the COVID-19 pandemic to develop and test a host of new solutions. Others have turned seemingly geographic disadvantages into strategic benefits. Take today’s advanced high-strength materials, which have long bedeviled manufacturing— especially in aerospace applications.
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Dec 27, 2023 |
sme.org | Ed Sinkora
It’s no surprise that in late 2023, the experts involved in making parts for energy production wanted to talk about wind turbines and batteries. But good old oil and gas shouldn’t be disregarded yet, and chasing tight tolerances is always an exciting endeavor. Windmills are becoming an increasingly attractive method of generating electricity, as it’s becoming necessary to build them in the United States.
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Nov 29, 2023 |
sme.org | Ed Sinkora
Water has a remarkable ability to remove heat without transitioning to its gaseous state. It’s also cheap. These characteristics make it a fantastic candidate for a cutting fluid. Of course, water is also considered the “universal solvent,” making it an equally excellent candidate for promoting rust.
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Sep 5, 2023 |
sme.org | Ed Sinkora
With computers beating both chess grand masters and world-class Go players, plus ChatGPT writing everything from college term papers to love poems, artificial intelligence (AI) is arguably the hottest topic in tech today. But what about in manufacturing? Theoretically, with enough data and the right algorithm, AI and machine learning could assess machine condition, adjust programs to improve throughput or quality, and perhaps more. So, what’s the reality? Let’s start with generative design.
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