Infrastructure monitoring and rapid quality diagnosis comprise the key solutions to achieve
zero-defect smart manufacturing. The most fundamental systems in manufacturing industries …

Grinding is a multi-length scale material removal process that is widely employed to
machine a wide variety of materials in almost every industrial sector. Surface roughness …

The existing surface roughness theoretical predictive models exhibit high parameter
sensitivity and complexity, resulting in low reliability. Moreover, machine learning-based …

Grinding is significant for hard and brittle material machining, and it has been applied in
particle reinforced composites machining for higher surface quality. In this paper, surface …

SiCp/Al composites are important materials in the automotive and aerospace fields. In order
to improve surface quality of SiCp/Al composites, ultrasonic vibration assisted grinding was …

Roughness prediction of ground surfaces is critical in understanding and optimizing the
grinding process. However, it is hitherto difficult to predict accurately the ground surface …

Superalloys are widely used in aerospace and energy fields by virtue of superior physical
properties, especially in high-temperature environments. However, superalloys have poor …

The paper investigates various methods of microfinishing and arrives at the best technique
to produce a very smooth surface. Various setups, with and without oscillation, were …

A Finite element analysis (FEA) modeling method for grinding wheel and long fiber
reinforced ceramic matrix woven composites (LFRCWCs) specimen was integrated and …

Sažetak The work presents a robotic system for grinding the blades of a turboprop engine
compressor. The proprietary conceptual solution includes a data acquisition system based …