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Articles by Tian-Syung Lan
Total Records ( 10 ) for Tian-Syung Lan
  Tian-Syung Lan
  Problem statement: Material Removal Rate (MRR) is often a major consideration in the modern Computer Numerical Control (CNC) turning industry. Most existing optimization researches for CNC finish turning were either accomplished within certain manufacturing circumstances, or achieved through numerous equipment operations. Therefore, a general deduction optimization scheme is deemed to be necessary proposed for the industry. Approach: In this study, four parameters (cutting depth, feed rate, speed, tool nose runoff) with three levels (low, medium, high) were considered to optimize the MRR in finish turning based on L9(34) orthogonal array. Additionally, nine fuzzy control rules using triangle membership function with respective to five linguistic grades for the MRR is constructed. Considering four input and twenty output intervals, the defuzzification using center of gravity was thus completed for the Taguchi experiment. Therefore, the optimum general deduction parameters can then be received. Results: The confirmation experiment for optimum general deduction parameters was furthermore performed on an ECOCA-3807 CNC lathe. It was shown that the material removal rates from the fuzzy Taguchi deduction optimization parameters are all significantly advanced comparing to those from the benchmark. Conclusion: This study not only proposed a general deduction optimization scheme using orthogonal array, but also contributed the satisfactory fuzzy linguistic approach for the MRR in CNC turning with profound insight.
  Tian-Syung Lan
  Problem statement: Surface roughness is a major consideration in modern Computer Numerical Control (CNC) turning industry. Most existing optimization researches for CNC finish turning were either accomplished within certain manufacturing circumstances, or achieved through numerous equipment operations. Therefore, a general deduction optimization scheme is deemed to be necessary for the industry. Approach: In this study, four parameters (cutting depth, feed rate, speed, tool nose runoff) with three levels (low, medium, high) were considered to optimize the surface roughness for Computer Numerical Control (CNC) finish turning. Additionally, twenty-seven fuzzy control rules using trapezoid membership function with respective to seventeen linguistic grades for the surface roughness were constructed. Considering thirty input and eighty output intervals, the defuzzification using center of gravity was moreover completed. Through the Taguchi experiment, the optimum general deduction parameters can then be received. Results: The confirmation experiment for optimum deduction parameters was furthermore performed on an ECOCA-3807 CNC lathe. It was shown that the surface roughness from the fuzzy deduction optimization parameters are significantly advanced comparing to those from benchmark. Conclusion: This study not only proposed a parametric deduction optimization scheme using orthogonal array, but also contributed the satisfactory fuzzy approach to the surface roughness for CNC turning with profound insight.
  Tian-Syung Lan , Chih-Yao Lo , Ming-Yung Wang and Yen-An Yu
  In this study, the four cutting parameters (cutting depth, feed rate, speed and tool nose runoff) with three levels (low, medium and high) are selected to determined the 34 = 81 sets of full experimental combinations. The ECOCA-PC3807 CNC lathe is utilized to diameter finishing turn the S45C. The surface roughness (Ra), tool wear ratio (μm-2) and cutting force are additionally measured as quality objectives. The BPN is moreover introduced to learn the selected 45 sets of experimental results. The remaining 36 sets of experimental results are furthermore used to verify and construct a multiple quality predictor of CNC turning. Considering the learning rate as 1 and momentum factor as 0.5, the results of 4000 times of BPN training through a hidden layer indicated that the prediction of surface roughness reached 95.87% of accuracy, the quality objective of tool wear ratio reached 94.32% of accuracy, the quality of cutting force reached 92.29% accuracy and the overall prediction accuracy of the multiple quality process predictor could reach 94.16%. The results not only provide the CNC turning operations with an economic and prospective multiple quality analytic method but also establish machining references for CNC turning industry with profound insight. Under the considerations of multiple qualities, this study definitely explored, expanded and realized the prediction mechanism and values of cutting parameters.
  Tian-Syung Lan , Min-Chie Chiu and Long-Jyi Yeh
  In this study, not only Taguchi Method but also ANSYS in providing an economical and effective advance to the optimum design of the rib for a plastic injected product are introduced. The analytical model of a rectangular thermoplastic Acrylonitrile Butadiene Styrene (ABS) plastic cover with rib of given thickness (2.8 mm) was selected and constructed based on design experiences and the dimensions as well as the width of the rib were selected as the control factors for Taguchi Method. The deflection under a constant force of 150 Newton at the back centre of the cover was defined as quality characteristic. Additionally, the deformation experiment on a fixed thin beam was compared with the analytical result from ANSYS to verify the reliability of structure analysis from associated parameter setup and boundary condition operation. The L9(34) orthogonal array from Taguchi Method was moreover arranged to establish nine sets of finite element analysis models. Through Taguchi Method, the optimum design parameters were furthermore received from minimum deformation at back centre of the plastic cover analyzed by ANSYS. It is shown that the optimum structural parameters of a plastic rib can surely be effectively found with the integration of both Taguchi Method and ANSYS. Therefore, an Expert System of optimum design for various shapes of ribs can then be constructed through this study. This study exactly contributes a novel technique to the rib design for plastic injection industry in minimizing the development period of a new product.
  Sheng-Hua Lee , Tian-Syung Lan , Yu-Tang Chen and Shand-Dad Liaw
  This study summarizes several different methods that may be used to obtain the high frequency difference that is required in high-speed laser interferometers to support the advances made in mechanical manufacture and measurement techniques. A design for a dual-frequency interferometer with a frequency difference of 5 MHz and a bi-reflecting film cavity mirror is proposed, which satisfies application requirements and the need for reducing cost solutions. The characters of its frequency stabilization and polarization properties are tested. The theoretical performance is confirmed through experimentation. Finally, a laser interferometer is successfully constructed using this type of laser tube and is tested at a movement speed of 1 m sec-1.
  Tian-Syung Lan
  In this study, surface roughness, tool wear and Material Removal Rate (MRR) are major intentions in modern Computer Numerical Controlled (CNC) machining industry; therefore, the L9(34) orthogonal array of Taguchi experiment is selected for optimizing the multi-objective machining. Through, the examination of surface roughness (Ra), tool wear ratio (mm-2) and the calculation of Material Removal Rate (MRR) (mm3 min-1); machining objectives are then received. By using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the multiple objectives can additionally be integrated and introduced as the S/N (signal to noise) ratio into the Taguchi experiment. The mean effects for S/N ratios are moreover analyzed by MINITAB to achieve the multi-objective turning parameters. Through, the confirmation results, it is shown that the three objectives from our optimum parameters are all greatly advanced compared to those from benchmark parameters. Parametric optimization is a hard-solving matter because of the interactions between parameters. This study not only proposes a novel parametric optimization technique using Technique for Order Performance by Similarity to Ideal Solution (TOPSIS), but also contributes the satisfactory solution for multiple CNC turning objectives with profound insight.
  Tian-Syung Lan and Ming-Yung Wang
  In this study, an analytical model of a rectangular thermoplastic ABS (Acrylonitrile Butadiene Styrene) plastic cover with rib of a given thickness (2.8 mm) was introduced and the dimensions as well as width of the rib were selected as the control factors for simulation. Additionally, the deflection under a constant force of 150 Newton at the back centre of the cover was defined as quality characteristic. Moreover, the L9(34) orthogonal array for four factors and three levels from Taguchi method was additionally considered to layout the 34 = 81 sets of full simulations. By commencing the BPN (Back-Propagation Network) to learn the selected 45 sets of simulated results. The remaining 36 sets of simulated results are then employed to verify and construct a quality predictor of rib design. Considering the learning rate as 1 and momentum factor as 0.5, the results of 20000 times of BPN training through a hidden layer indicated that the accuracy of deflection prediction reached 95.87%. In this study, the full FEM (Finite Element Method) simulated results from the 81 sets of combinations layout by Taguchi method are learned and verified by BPN for the design of injection-molded rib. It is shown that the quality of a plastic rib can surely be effectively found with the proposed economic and prospective BPN. This study exactly contributes an economical technique to the quality prediction of rib design for plastic injection industry in minimizing the development period of a new product.
  Tian-Syung Lan
  With the L9 (34) orthogonal array of Taguchi experiment, the four cutting parameters with three levels are selected to determine the 34 = 81 sets of full experimental combinations. Additionally, the ECOCA-PC3807 CNC (Computer Numerical Control) lathe is utilized to diameter finish turn the S45C. The surface roughness (Ra), tool wear ratio (μm-2) and cutting force (N) are experimentally measured as quality objectives. The BPN (Back-Propagation Network) is moreover introduced to learn the randomly selected 45 sets of experimental results. The remaining 36 sets of experimental results are furthermore employed to verify the constructed multi-quality predictor for CNC turning. Considering the learning rate as 1 and momentum factor as 0.5; the results of 4000 times of BPN training through a hidden layer indicated that the prediction accuracy of 95.87, 94.32 and 92.29% for surface roughness, of tool wear ratio and cutting force, respectively. The GA optimization on multi-objective CNC turning proposed in this study surely provides an economic and prospective approach.
  Sheng-Hua Lee , Tian-Syung Lan , Yu-Tang Chen and Wei-Fang Chen
  This study presents the design models of the cutting edge and groove of the ball-end taper cutter with constant pitch. The section profile and relative feeding speeds of the grinding wheel in the NC machining of the cutter are deduced. The problems of remaining revolving surface and no cutting edge strip on the tip part of the ball-end of cutter are post-processed according to the computer simulation result of the actual groove surface. A ball-end taper cutter with ideal grooves may be obtained.
  Tian-Syung Lan , Chih-Yao Lo , Min-Chie Chiu and Long-Jyi Yeh
  This study mathematically presents an optimum material removal control model, where the Material Removal Rate (MRR) is comprehensively introduced, to accomplish the dynamic machining control and tool life determination of a cutting tool under an expected machining quantity. To resolve the incessant cutting-rate control problem, Calculus of Variations is implemented for the optimum solution. Additionally, the decision criteria for selecting the dynamic solution are suggested and the sensitivity analyses for key variables in the optimal solution are fully discussed. The versatility of this study is furthermore exemplified through a numerical illustration from the real-world industry with BORLAND C++ BUILDER. It is shown that the theoretical and simulated results are in good agreement. This study absolutely explores the very promising solution to dynamically organize the MRR in minimizing the machining cost of a cutting tool for the contemporary machining industry.
 
 
 
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