This article presents an integrated multi-criteria decision making using Entropy, MOORA and COPRAS methods for turning Nimonic C263. Experiments were performed under L27 Taguchi orthogonal array. Dry was cubic boron nitride (CBN) used to turn the alloy. The variables speed, feed depth of cut chosen as factors. For each experiment, shear force component measured during on line. insert flank wear...

Automatic process monitoring, including tool wear is a key aspect of improving the energy efficiency and cost machining process. The flank continuously increases during drilling operations. intensity may vary depending on local properties material settings. This paper shows potential drill condition monitoring based machine control system data, namely spindle drive current Z slide current. work...

Compared with the conventional drilling, helical milling has obvious advantages in making holes of carbon fiber-reinforced plastic (CFRP). Nevertheless, rapid wear cutting edges readily causes some defects outlet holes, such as burrs and tearing. In order to improve hole-making quality CFRP, a comparative experimental study on ultrasonic-assisted bi-directional CFRP was carried out. The mechani...

One of the important developments in modern manufacturing industry has been the trend towards cost savings through stuff reductions whilst simultaneously improving the product quality. Traditional tool change strategies are based on very conservative estimates of tool life from past tool data and this leads to a higher tool change frequency and higher production costs. Intelligent sensor based ...

During the turning process of metastable austenitic steels, austenite is transformed into hard martensite by plastic deformation at low temperatures. This enables production components, which have both a hardened subsurface zone and ductile core. Cryogenic cooling allows to be during machining, leads shortening chain. However, effects such as wear can make it challenging adjust properties turni...

Automation and optimization of the manufacturing processes play an important role in enhancing productivity. For this, monitoring and diagnostic systems are becoming increasingly necessary to asses the response of materials in manufacturing. In this paper, acoustic emission (AE) sensing was employed for on-line detection of workpiece status and to improve the process stability and workpiece qua...