AI is profoundly reshaping manufacturing, enabling businesses to achieve higher quality standards, greater operational efficiency and more imaginative resource utilization.
Unplanned downtime challenges manufacturers, but AI-powered predictive maintenance helps predict failures and reduce costs. A Deloitte study shows that 86% of executives view intelligent factory technologies as crucial for future competitiveness.
AI is revolutionizing quality control in electronics manufacturing by enhancing inspection processes and reducing costs. Anna-Katrina Shedletsky emphasized the power of machine learning and deep learning to automate tasks, improve product quality, and deliver significant ROI, making quality control the perfect starting point for AI implementation.
To meet the new torque and rpm requirements, the gears for electric drives must be designed with tighter manufacturing tolerances, especially in terms of lead and profile characteristics.
The shift to electrification in the automotive industry demands tighter manufacturing tolerances and increased NVH testing for electric drive gears. This proactive approach helps identify potential noise issues early, enhancing quality and efficiency while reducing costs.
Quality control in manufacturing and engineering relies heavily on compression force testing to determine material strength, durability, and stability. This article highlights the key uses and equipment needed for such testing.
Time series analysis enables manufacturers to track quality data, revealing patterns, trends, and anomalies to maintain consistent production standards. This method can be applied to daily production output or hourly quality measurements.
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-process verification uses high-tech tools like 3D scanners and laser trackers on the factory floor to monitor products as they're made, allowing instant analysis and immediate problem-solving.
Reverse engineering is the process of taking apart a product to understand its design and functionality. This knowledge is helpful for creating similar products or improving existing designs.
This article explores the transformative impact of incorporating rotary stages into coordinate measuring systems, enhancing their capabilities and the efficiency of the measurement process.
On Demand Join our webinar on Wednesday, April 3rd, to learn about a new and innovative X-ray computed tomography scanning approach called Tilted CT. This method can increase magnification and resolution while reducing artifacts when imaging challenging components.
On Demand Join Glen Putnam of NuSkin and Glen Fraser of ETQ on May 8, 2024, at 2:00 PM ET for a 30-minute webinar where you will get practical advice about transitioning to an enterprise-grade electronic QMS.
On Demand Join Hexagon and Quality Magazine for our next webinar and discover how quality automation can revolutionize your quality control process, increase reliability, and ultimately reduce costs.
On Demand This session will showcase practical applications and best practices for utilizing these powerful tools to achieve superior results. Ideal for those seeking to optimize quality management and productivity through data-driven strategies.
On Demand Designed specifically for quality professionals in the manufacturing industry, this session aims to equip you with the tools and strategies to transform your role and your organization's approach to quality.
On Demand Drawing from 30 years of experience using neural networks in various machine vision applications, Ned will share anecdotes and examples to help you predict which kinds of applications are going to be AI wins and which ones are going to give you fits.