An Integrated Smarter Cutting Parameter Selection System with a Case Study for Pocket Milling

Abstract

This paper develops an integrated smart cutting parameter selection system for pocket milling. Currently, general CAD/CAM systems generate pocket milling tool paths according to user-designated cutting parameters typically including cutting depth, feed rate, and spindle speed. Pocket milling is often used for rough machining, and shorter cutting times are used to increase productivity. Although shorter machining times can be accomplished with deeper cutting, it may result in unstable cutting (chatter). Stability lobe diagrams (SLD) generated from cutting and tapping tests on selected machine tools describe the relationship between cut depth and spindle speed. However, despite offering useful information for selecting cutting parameters for chatter-free cutting, SLD has not been integrated with existed CAD/CAM systems. Therefore, this study integrates SLD in a CAD/CAM system to effectively determine the optimum cut depth and spindle speed for a theoretically chatter free pocket milling tool path. A case study is used to verify the proposed system integration.

Investigating the learning performances between sequence‐ and context‐based teaching designs for virtual reality (VR)‐based machine tool operation training

“…Our research team has been devoted to engineering education, including machine tool education , engineering innovation education , and software engineering education for several years. We have also studied many techniques to develop superior solutions for VR‐based machine tools and have tried to apply the techniques in training . Because teachers’ teaching design is an important factor that affects the performance of the training, we compared the training performance of different teaching designs for machine tool education in this study.…”

Optimizing the numerical algorithm in Fast Constant Engagement Offsetting Method for generating 2.5D milling tool paths

“…This phenomenon has a detrimental effect on tool life and machining time [13]. In this situation, varying cutting characteristics hinder the correct choice of cutting parameters during process planning [14], hamper the stability of cutting [15], and adversely affect both the machining quality and efficiency [16]. Moreover, during machining of thin walls, where tool deflection is critical [17], and during high speed machining, where pulse-like tool load can even lead to tool breakage, the fluctuation of the cutting force cannot be allowed at all.…”