Authors: Hong Yu Zhu, Wei Jin Chen, Ying Li
Abstract: TI6AL4V is a kind of hard-machining material, which has bad thermal conductivity, good chemical reactivity, little elastic modulus, great friction coefficient, severe work hardening, short cutter life, low machining efficiency and poor machining surface quality. To improve the machining efficiency, reduce machining cost and improve products quality, the cutting tool wear is the key factor affecting machining quality, machining efficiency and production safety. In this paper, a test system which takes TI6AL4V as the research object, and the dynamic milling force during the high speed milling as the detection signal is built for online tools wear prediction. The method of wavelet packet transform and neural network are presented to diagnose and predict the situation of tools wear. The practical example shows that this system has good practicability and could identify the tools wear states exactly through verification tests.
205
Authors: Shintaro Sakurai, Hideki Aoyama, Noriaki Sano
Abstract: As the feed rate of cutting tools is influenced by the quality of NC programs, this causes two problems when cutting freeform surfaces using NC machine tools, one is the feed rate does not reach the specified value, and the other is the quality of the machined surface decreases due to the large acceleration and deceleration of the control axes. One reason for these problems is that the method to generate cutter location data does not take into consideration the sampling time of the NC controller. To improve these problems, the approximation of offset curves with a series of circular arcs has generally been proposed. But conventionally, circular arc interpolation algorithms are complicated and not rational. So, in this study, we proposed two simple NC program generation methods. (1) Approximate the offset form with circular arcs based on the location of the center of curvature. (2) Make the distance between the cutter location points of the NC data an integral multiple of the “feed rate command F × sampling time T”. We also confirm the effectiveness of the proposed methods by simulations and experiments.
398
Authors: Li Jun Qiu, Jia Yang
Abstract: Tire production of fine particles of powder composition and the mechanical arrangement of tool methods of efficiency of the larger craft. Fine particles of cutting edge cutting machine is a small gap between the edge of the particles produced can not exercise the role of the crowded file. File can not be cut and milled to achieve simultaneously. Multi-blade knife and bevel knife gap between the tool installation form. Between powder particles in the twice cut or ground to reduce the powder particle size cheddar and improve work efficiency results.
442
Authors: Liang Bin Hu, Bi Wen Li, Sheng Li, Yao Bin Hu
Abstract: In view of the advantages of slotting modification processing and the difficulties in the design and manufacture of Modification Slotting Cutter, development for CAD / CAM system of modification slotting cutter’s design and manufacture for high-speed and heavy-loading gear has the following features:Firstly, the adaptive design of modification slotting cutter is implemented based on different modification target.Secondly,the precise design of modification slotting cutter is implemented by automatic regulating its section line position based on simulation results of the evaluation of the modification. Thirdly, the automatic regulation for fixture system and wire cutting process parameters of modification slotting cutter is implemented based on prediction model of slotting cutter’s pressure angle error, thereby reducing the design and manufacturing difficulty and to improve the precision as well as self-adaptability for modification slotting cutter.
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