Check out the October 2024 edition of Quality! Read our cover story on how CT quality analysis of EV batteries can help address demand and performance. Read our feature on transforming quality assurance with AI, an NDT special section, and much more!
Higher volumes of new batteries and faster turnaround of recycled materials from those batteries—along with testing of used and repurposed ones—demand the most efficient quality-inspection approaches possible.
EVs could represent 45 to 58 percent of all vehicles by 2030, with the lithium-ion battery market expected to grow over 30 percent annually. The question is whether battery quality can keep up with this surge.
The hype around "big data" has mainly aimed at niche market sales without delivering expected benefits. Similarly, the business world's obsession with Lean Six Sigma has shown minimal returns on investment. In contrast, over the last 25 years, I've leveraged small Excel files to significantly cut costs and increase profits, often by millions of dollars, through a reliable sequence I discovered.
As robotics use grows throughout processing, packaging, and logistics environments, it’s important to understand your options — and how to keep up with safety guidelines.
As robots gain prevalence in manufacturing, emphasizing their safe use is vital. This includes understanding safety features, challenges, and best practices across all robot types, such as industrial, collaborative (cobots), autonomous mobile (AMRs), and humanoid robots, to navigate their complexities effectively.
The push for smaller, more complex device components has spiked the need for precise, non-damaging metrology, with 3D X-ray microscopy (XRM) leading the way. This technology offers high-resolution measurements critical for quality control in the electronics and manufacturing industries.
Machine vision projects often face challenges such as slow progress, difficulty in getting quotes, cost overruns, and unreliable operation. These issues require recognizing and adapting to the unique nature of machine vision projects compared to other types of projects.
Integrating AI into quality control processes requires a thoughtful approach that goes beyond mere technology adoption. Here are some proven strategies to ensure successful AI empowerment in quality control.
The recent Boeing door plug failures highlight the urgent need for better quality control. Utilizing AI, particularly Large Vision Models (LVMs), offers a promising solution for enhancing quality assurance by providing unparalleled precision, efficiency, and scalability.
In today's tech-driven world, companies use software to collect data, but the analysis can be flawed. Charts with only specification limits, arbitrarily chosen warning and action limits, and misused Process Behavior Charts contribute to misinterpretation.
ASQ identifies the basic quality tools as: data collection sheets, histograms, Pareto charts, scatter diagrams, cause and effect diagrams, flow charts/process maps, and control charts.
This month, I'm honored to speak at the ASQ Columbus (Ohio) Section’s annual conference on the theme "What is in Your Toolbox?" I'll discuss the seven basic quality tools I've extensively used over my 30+ years as a quality professional. Interestingly, unlike with my children, I do have a favorite among these tools.
Selling a business marks years of effort and investment, profoundly affecting the owner, employees, and community. However, finalizing a sale isn't always certain, and sometimes, walking away is the smarter option. This article examines when it's wise to do so and identifies key factors to consider in making that decision.
Since its publication there have been numerous articles about ISO 45001 but very little about OSHA and its requirement in Occupational Safety and Health Standards 29 CFR 1910.
Safety is paramount in manufacturing and distribution, with ISO 45001 (2018) guiding Health and Safety programs under federal regulations. However, there's less focus on OSHA's requirements in 29 CFR 1910.
A good QMS will control nonconformities by acting as a defense line, catching discrepancies and abnormalities in products before they ever reach the customer.
Manufacturers thrive in a competitive market by prioritizing customer needs: price, quality, and delivery. However, long-term success hinges on quality, which ensures products perform as expected from manufacturing through to post-sale. While price is influenced by costs and market dynamics, and delivery by productivity, quality is key to building trust and customer loyalty.
Material analysis is a critical component of successful lightweighting strategies.
September 12, 2024
In aerospace, lightweighting is crucial for fuel efficiency, range, and emissions. Material analysis and technology advancements offer weight reduction without sacrificing performance or safety.
In an ideal situation, every contaminant and raw material would have its own XRF and FTIR spectrum, which can be used to compare to unknown contaminants or incoming materials.
FTIR is the primary method for material and contaminant identification but lacks sensitivity to metallic components. X-ray fluorescence (XRF) can fill this gap and improve identification accuracy.
Fatigue testing has made significant progress in recent years, especially in test and environmental conditions. Remote monitoring has advanced with the use of AI-enabled camera systems, making it easier to integrate legacy instruments.
NDT certification is essential for professionals in industries where material and structural integrity is critical. It demonstrates expertise and professionalism, benefiting individuals and organizations by improving career prospects, quality control, and compliance with industry standards.