Statistical Process Control is a critical tool used in many industries to monitor complex processes that could pose a serious financial or safety risk. Decades ago, the automotive industry was looking for ways to improve productivity and reduce waste.
The complex geometries found in modern shafts, such as splines, tapers, grooves, cams, gears, threads, and 3D contours, require more than straightforward diameter checks.
Although shafts are a foundational component in numerous mechanical systems, including power transmission in automotive and aerospace drivetrains, actuation in hydraulics, micro-rotors in medical devices, and many other variations of turned components in industrial machinery, advances in design and manufacturing have made them increasingly difficult to measure.
As Grand Traverse Tool has moved deeper into the medical, aerospace, and energy markets, quality verification requirements have become increasingly demanding.
JETAIR SUPPORT specializes in the inspection and maintenance of aviation components, including life-limited parts that are crucial to aircraft engine performance.
CMMs have been in the industry since the ‘70s and historically had an untrusted stigma. Because of their time in the industry and their continued evolution, that’s changed.
“The biggest challenge with CMMs is that they are CMMs. They have been in the industry for a very long time and typically have a negative connotation about them.
Key factors such as gloss, haze, distinctness of image, and orange peel work together to determine the overall total appearance, along with hidden variables that also control your outcome.
A customer's first impression of a product depends largely on its appearance. Issues in formulation or processing can create defects that diminish perceived quality. Key factors like gloss, haze, and distinctness of image (DOI) impact overall appearance, while hidden variables also play a role. Understanding these elements is vital for ensuring consistent quality and customer satisfaction.
Ultimately, the goal is not just to evaluate the gage but to ensure that capability studies, SPC charts, and process improvement projects are built on reliable data.
Measurement Systems Analysis (MSA) evaluates measurement systems in manufacturing, focusing on errors like repeatability (variability from the same operator) and reproducibility (variability from different operators). Gage R&R Analysis, using the A&R or ANOVA methods, quantifies these errors to ensure manufacturing processes meet customer requirements.
For much of the industrial era, engineering communication revolved around 2D technical drawings. Today, advances in Model-Based Definition (MBD) are reshaping that paradigm.
Technology companies in automotive and aerospace are revolutionizing engineering with Model-Based Definition (MBD), which makes 3D CAD models the primary source for product details, integrating dimensions and tolerances directly.
3D measurement technology has advanced rapidly, especially in digitization and automation. New scanning equipment and powerful evaluation tools enable quick and accurate handling of complex measurement tasks. Measurement accessories like sublimating scanning sprays and reference points are crucial for achieving efficient and reproducible results.