Multi-objective Process Optimization of Internal Helical Grooving Technology for Steel Tube

• Main Authors: Hong-Da Lai, 賴鴻達
• Other Authors: Yih-fong Tzeng
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/98999636085369731991

碩士 === 國立高雄第一科技大學 === 機械與自動化工程研究所 === 101 === Button rifling process which has high production efficiency, preparing speed, personnel suitability and lower tooling costs.In this study, we explore the multi-objective process optimization of inner helical grooving technology for steel tube and focus on three characteristics including surface roughness, bore diameter and groove diameter after internal groove is made. The experimental method uses Button rifling to extrude hollow log material including AISI 4140 Chroium Molybdenum Steel, SUS 416 Stainless Steel and 21 Chroium Molybdenum Vanadium Steel. Experiments adopted the Taquchi method orthogonal array of . Eight factors were as follows: (A) hardness of material (B) material (C) internal diameter (D) forming angle of Button (E) external diameter of Button (F) electroplate of Button (G) Feeding rate (H) oil pressure. Factor A has two levels of parameter design; the other factors have three levels. After the S/N Normalized Principal Component Analysis through SPSS software and combined with fuzzy analysis method, the experimental measurement value develops the best process parameters for multi-quality characteristics. Experimental results show that the optimal combination of parameters are hardness of material of 32 2HRC, material of 21 Chroium Molybdenum Vanadium Steel, internal diameter of 11.25mm, forming angle of Button of 30, external diameter of Button of ψ11.56mm, electroplate of Button of Aluminum Chroium titanium, feeding rate of 3m/min and oil pressure of 60kg/cm2. By the MPCI and the multiple principal component of total points quality performance pointers MPCIs variance analysis was informed that the most significant factors controlling the internal helical groove process of extrusion are hardness of material and internal diameter of log. The effect of these two factors shall be concerned once the parameters are changed during process. Finally, confirmation experiments confirmed that Taguchi collocation using principal component analysis method, combined with fuzzy analysis method can effectively enhance thorough Multiple quality characteristics of internal helical groove on steel tube.