Abstract: Tool failure and chatter are two major problems during machining. To detect and distinguish the occurrences of these two abnormal conditions, a novel parallel multi-ART2 neural network has been ...

Abstract: In an attempt to find an appropriate cutting tool for machining titanium alloys, performance of binderless cubic boron nitride tools is evaluated. This new cutting tool material is expected to ...

Abstract: This present study intends to investigate the feasibility of drilling deep microholes in difficult-to-cut tungsten carbide by means of low frequency workpiece vibration-assisted micro–electro-discharge ...

Abstract: This paper proposes a new approach for multi-category identification of turning tool conditions. It uses the time-frequency feature information of the AE signal obtained from best-basis wavelet ...

Abstract: Adaptive slicing capable of producing variable thickness is a useful means to improve the fabrication efficiency in layered manufacturing (LM) or Rapid Prototyping (RP) processes. Many approaches ...

Abstract: This paper discusses the design modification issue in a collaborative assembly (co-assembly) design environment, which enables multiple geographically dispersed designers to design and assemble parts ...