Anggoro P W, Bawono B, Setyohadi D B, Ratnasari L, Fergiawan P K, Tauviqirrahman M, Jamari J, Bayuseno A P
Department of Industrial Engineering, University of Atma Jaya Yogyakarta, Jl. Babarsari 44, Yogyakarta, 55281, Indonesia.
Department Informatics, University of Atma Jaya Yogyakarta, Jl Babarsari 44, Yogyakarta, 55281, Indonesia.
Heliyon. 2023 Jun 1;9(6):e16860. doi: 10.1016/j.heliyon.2023.e16860. eCollection 2023 Jun.
In this study, the application of the computer-aided reverse engineering system (CARE) to the novel design and manufacture of a comfortable insole for a clubfoot patient is presented. The Taguchi method (TM) and response surface methodology (RMS) were used to predict the machining time of the orthotic boot insole during both computer-aided manufacturing (CAM) simulation and computer numerical control (CNC) machining. Taguchi's experimental design, presented as a matrix orthogonal array L3, was acquired for controlling parameters, namely tool path strategy (A), spindle speed (B), step-down (C), step-over of the cutter (D), cutter diameter (E), and dimensional tolerance (F) of the insole size. In this method, the model generated by the RMS method evaluates the six parameters influencing the machining time. The objective of this study is to develop a regression model that demonstrates the relationship between the cutting parameters and insole machining time. The optimal parameters are ABCDEF, where A denotes raster finishing, B denotes a spindle speed of 10,000 rpm, C denotes a step-down of 850 mm, D denotes a step-over of 0.25 mm, E denotes a cutter diameter of 20-35 mm, and F deontes a tolerance of 0.75 mm. The experimental and calculated machining time (t) results were 236 and 125.4 min, respectively. However, the real machining results were 334 and 152.25 min with error values of 46.86% and 54.42%, respectively. Meanwhile, with the t RMS method, the simulated and calculated machining time results were 189.22 and 236.35 min, whereas the real t values were 236.52 and 334.86 min with error values of 19.94% and 29.37%, respectively. This research obtains improvements of 19.82% (simulation time) and 29.19% (real-time).
本研究介绍了计算机辅助逆向工程系统（CARE）在为一名马蹄内翻足患者设计和制造舒适鞋垫中的应用。田口方法（TM）和响应面方法（RMS）用于预测在计算机辅助制造（CAM）模拟和计算机数控（CNC）加工过程中矫形靴鞋垫的加工时间。获取了田口实验设计，以矩阵正交阵列L3表示，用于控制参数，即刀具路径策略（A）、主轴转速（B）、切削深度（C）、刀具步距（D）、刀具直径（E）和鞋垫尺寸的尺寸公差（F）。在此方法中，由RMS方法生成的模型评估影响加工时间的六个参数。本研究的目的是建立一个回归模型，以证明切削参数与鞋垫加工时间之间的关系。最佳参数为ABCDEF，其中A表示光栅精加工，B表示主轴转速为10000转/分钟，C表示切削深度为850毫米，D表示刀具步距为0.25毫米，E表示刀具直径为20 - 35毫米，F表示公差为0.75毫米。实验和计算得到的加工时间（t）结果分别为236分钟和125.4分钟。然而，实际加工结果分别为334分钟和152.25分钟，误差值分别为46.86%和54.42%。同时，使用RMS方法时，模拟和计算得到的加工时间结果分别为189.22分钟和236.35分钟，而实际t值分别为236.52分钟和334.86分钟，误差值分别为19.94%和29.37%。本研究在模拟时间上提高了19.82%，在实际时间上提高了29.19%。
