Check out the August 2024 edition of Quality! Read our cover story on the role of universal shaft measurement machines in modern manufacturing. Also inside are features on the rise of AI governance, how training approaches have evolved, a special NDT section, and much more!
The manufacturing industry relies on precision for safety and performance. Shaft measurement instruments are crucial for ensuring the functionality of mechanical systems.
A recent report by the National Academies of Sciences, Engineering, and Medicine highlights data quality as a significant concern for the reliability of digital twins.
The Digital Twin Consortium (DTC) Composability Framework provides a transformative approach to digital twin system development, focusing on interoperability, security, trustworthiness, scalability, and design reuse to align with businesses’ objectives and evolving needs.
The manufacturing industry has a significant labor shortage. We need to attract new talent and upskill our existing workforce, especially by embracing candidates without degrees and leveraging technology for training at scale.
By establishing precise parameters for success from the outset and implementing proven strategies, manufacturers can proactively mitigate risks, streamline operations, and foster a culture of excellence.
Ensuring high quality in medical device manufacturing requires operational excellence, which optimizes efficiency and enhances product quality and compliance. Let’s explore some of the key elements and best practices.
Machines can accomplish so much of what humans used to do. Now is the time to leverage technology while capitalizing on the unique qualities humans bring.
Quality 4.0 aligns quality management with Industry 4.0 to drive efficiencies, performance, and innovation. It's critical now more than ever to merge human skills with technology.
Determining liability and accountability for AI system actions is challenging. Organizations need a comprehensive approach addressing technical, ethical, legal, and organizational aspects of AI.
The singularity—or more accurately, the technological singularity—“is a hypothetical future point in time at which technological growth becomes uncontrollable and irreversible, resulting in unforeseeable consequences for human civilization.”
Military standards came from a need for a sampling system that did not require 100% inspection for use in testing munitions and other destructive tests.
The ANSI/ASQ Z1.4 standard is similar in format to MIL-STD-105E and ASTM E2234-09 but differs in its definition of a rejectable item. It uses definitions and terminology in line with ANSI/ISO/ASQ 3534-2:2006. Two definitions are particularly important in applying the standard.
How well do the people responsible for meeting the quality standards understand the standards? Quality managers have access to effective tools to ensure that both the quality team and the entire organization are well-grounded in the most important standards.
In the 20th century, internal combustion engines drove progress, but now automotive manufacturers are rapidly transitioning to EV production, requiring new metrology approaches.
Quality is present in all sorts of industries, which makes it a vibrant and
interesting field, but also presents a challenge when looking to find new
professionals to bring into the community.
I often ask quality professionals about their career paths. While I started in natural history collections, I now work in document control in the life sciences industry. Recruitment in the quality industry is challenging due to its presence in various fields, but supporting and engaging young professionals is crucial for the community's future.
Accurate assessments of military and defense assets, especially ballistics, are crucial for battlefield success. Advanced CT X-ray nondestructive testing (NDT) and robotic systems integration have revolutionized inspections, enhancing quality control and safety.
Lithium-ion (Li-ion) batteries power many of our daily devices. However, manufacturing them requires scarce base metals and has supply and sustainability challenges. Battery recycling is vital for the supply chain. This article discusses using analytical technologies to maximize Li-ion materials and optimize production.
If the supply of qualified personnel is inadequate to meet the needs of industry there will be greater efforts to automate and utilize artificial intelligence to perform and evaluate NDT.
Manual methods of performing nondestructive testing (NDT) and human evaluation of the results are rapidly being replaced by automated, digitized, and artificial intelligence interpretation of the results wherever economically feasible.
Liquid penetrant testing is known for being relatively easy to perform, but it does requires skilled technicians to perform and interpret results accurately and consistently.
Liquid penetrant testing (LPT) is a versatile, portable, simple, and sensitive method for detecting surface defects. It can be used on a wide range of materials and is excellent at finding surface discontinuities such as defects, porosity, lack of fusion, or surface-breaking cracks.
Laser-based NDT methods continue to be refined and improved, with recent significant advancements in the measurement of difficult-to-inspect shiny surfaces, underwater and radiation environments.