Here we’ll examine challenges that the measurement environment imposes on machine vision and give approaches to mitigate the effects and retain much of the high-accuracy capability.
The first part of this three-part series covered the principles that allow machine vision to make high-accuracy measurements. This second part examines challenges that the measurement environment imposes on machine vision and gives approaches to mitigate the effects and retain much of the high-accuracy capability.
In today's competitive industrial landscape, adhering to quality management certification and audit standards is vital for consistency and excellence, especially in sectors like aviation and defense. These standards drive improvement and build customer trust. Understanding the audit process is crucial, as preparation varies by audit type, enabling organizations to effectively meet auditors' expectations.
This article shows how to make leadership aware of all costs and not just the tangible ones. It helps quality professionals to quantify the Total Cost of Quality and derive a compelling business case from that quantification.
By integrating extensive data and employing advanced analytics, digital twins help predict potential issues, optimize processes, and ensure consistent product quality.
The automotive industry is innovating to produce safer and more efficient vehicles. Quality standards are vital, as small defects can lead to serious safety issues. Digital twins and augmented reality (AR) are transforming quality management. This article explores their impact and associated challenges.
Listen to this podcast featuring Harshala Patil, a Senior Quality and Reliability Engineer. In it, she discusses her journey into quality, the significance of quality across various industries, and what attracted her to the manufacturing sector.
The techniques allowing high-precision measurements are well understood and based on solid principles. Calibration is critical to accurate measurements.
Machine vision can measure with greater precision and accuracy than human vision. This series starts by exploring techniques for high-precision measurements in vision systems. The next installments will examine challenges and solutions for maintaining this precision and accuracy. First, we'll clarify key terms related to measurement accuracy.
Batteries are key to electrification, demanding high-quality control and efficient production. The use of Automated Defect Recognition (ADR) and other technologies is critical as the industry aims to scale up to meet the rising demand from electronics, electric vehicles, and energy storage sectors, while also minimizing environmental impacts.
Whether performed onsite or outsourced to an ISO 17025 accredited lab, the tests described here are great ways to screen corrosion inhibiting materials during the selection process.
Corrosion prevention is vital for quality assurance in metal goods manufacturing. It helps avoid production delays and customer complaints from rust. Key strategies include four types of corrosion testing: VIA, humidity and salt fog, and iron chip testing. These tests aid in selecting effective protection methods and the right rust preventative dosage.
Additive manufacturing (AM), or 3D printing, is crucial for producing complex, accurate parts with minimal waste. Ensuring the quality of raw materials and finished metal parts is essential for its success. This paper emphasizes the need for compositional analysis and strict quality control in AM.
Daniel Zrymiak highlights key threats to quality culture from his experience. Organizations must continuously check for these threats in operations and discussions, ready to respond appropriately.