By leveraging AI tools, manufacturers can achieve the critical balance between efficiency and the aerospace industry’s strict regulatory and safety standards.
The aerospace industry faces a challenging task in balancing cost reduction with stringent quality standards. The rise of artificial intelligence (AI) offers transformative solutions in manufacturing and metrology, enabling manufacturers to optimize production processes while ensuring compliance with safety regulations and maintaining high-quality outputs.
Dr. Ben Tomic is our 2025 Quality Professional of the Year. With nineteen competencies on his CV and 50 skills on LinkedIn, he is a valuable asset as a certified quality engineer (CQE) or AS9100 lead auditor. He also highlights the importance of emotional intelligence in his work.
Explore how ISO 9001 serves as the global standard for quality management systems, shaping practices across various industries. Discover the tailored 9100 standard that addresses the unique needs of the aerospace, aviation, and defense sectors.
Advanced ultrasonic testing solutions must keep pace with these new challenges while maintaining the rigorous quality control standards that ensure aircraft safety.
Aerospace components, varying in shape, size, and material, require specialized inspection methods to ensure quality and safety due to the diverse manufacturing processes involved. Automated Ultrasonic Testing (UT) systems enhance efficiency and defect detection, but effective scanner control, inspection planning, and results analysis are essential to maximize their benefits.
An exciting addition to hardness testing is the integration of AI-based indentation evaluation, which enhances the precision and efficiency of hardness mapping.
Hardness testing is essential in material sciences, particularly through hardness mapping, which generates detailed heat maps from thousands of indentations. Enhanced by AI-based evaluation, this method improves accuracy and is widely used in industries like automotive and aerospace. The article discusses the methods and future of AI-driven hardness testing.
A manufacturer retrofitted aging PLC-5 systems in aircraft painting facilities with Rockwell’s ControlLogix and R. Stahl’s IS components, enhancing safety, reliability, and maintenance for future operations.
Neutron imaging enhances aerospace valve inspection by detecting issues traditional methods like X-rays miss. It reveals contaminants and allows for detailed 3D models, improving the assessment of complex valve assemblies.
Contract manufacturers can enhance their competitive advantage by applying quality best practices from the medical and aerospace industries, both of which demand flawless performance and strict contamination control.
APQP’s roots trace back to the 1980s U.S. automotive industry, where fierce competition from Japanese manufacturers pushed companies like Ford, GM, and Chrysler to improve quality and consistency.