CT Scanning for Crimp Connection Inspection | Electrical Reliability
Crimp connections are fundamental to electrical systems, especially in automotive and electronic applications where consistent conductivity and long-term reliability are essential.
Crimp connections are fundamental to electrical systems, especially in automotive and electronic applications where consistent conductivity and long-term reliability are essential.
Porosity refers to the presence of internal voids, gas pockets, or inclusions formed during manufacturing processes such as casting, injection molding, or additive manufacturing.
In modern manufacturing, quality inspection is no longer just a final checkpoint before shipment. It has evolved into a strategic risk management tool that helps manufacturers prevent failures, avoid costly recalls, and maintain product reliability.
Failures in manufactured products rarely originate from visible surface defects. In many cases, the actual cause lies inside the component—hidden in internal cracks, voids, misalignment, or structural inconsistencies that conventional inspection methods cannot detect.
Supplier quality is one of the biggest hidden risk factors in modern manufacturing. Even when documentation, certifications, and dimensional checks appear compliant, internal defects can still compromise performance, durability, and safety.
When manufacturers invest in CT scanning, they are not just looking for images — they are looking for answers.
Internal short circuits are among the most critical failure modes in lithium-ion batteries and high-density electronic assemblies. Unlike external failures, they occur inside sealed components — often without warning.
Warranty claims are more than a financial inconvenience. They are a signal of undetected internal defects, inspection gaps, or process inconsistencies.
Lithium-ion battery cells are among the most safety-critical components in modern manufacturing.
Retrofitting X-ray inspection systems into existing production environments inevitably introduces geometric, mechanical, and temporal constraints.