||The issue of making parameter optimization of multi-objective CNC finish turning system regulation usually has highly complex non-linear relations, and the interactions are complex between the parameter and objective. Existing optimization research studied by a projection of the specific state, and more needed to make it by a large amount of repetitive operation and equipment. Because making parameter optimization of multi-objective CNC finish turning system regulation is really difficult, this paper chose multi-objective CNC finish turning system regulation to be topic, took cutting speed, cutting depth, feed rate and tool nose runoff as the factors of cutting, combined fuzzy linguistic analysis and “Technique for Order Preference by Similarity to Ideal Solution” (TOPSIS), and discussed the control parameter to influence of surface roughness, tool wearing, material removal rate, cutting noise (spreading objective) with FAHP. Utilize the linguistic inference way and operate without equipment to develop a set of general optimization mechanisms.
First, this research constructed the relativity stratum of quality and factor, analyzed multiple quality weight objectively by FAHP. Based on Fuzzy theory further, set up the linguistic rules for specific objective. After defuzzification by center of gravity method based on the definition of trapezoid membership function, this research got the quantization value of quality. Applied to the Taguchi orthogonal arrays further, obtained quality data by the experiment of linguistic and the one of turning. And then using TOPSIS was applied to combine multi-objective and to obtain the rank value. This research used TOPSIS to combine the general full factorial data done by Yi-Zhe Weng and Te-Chih Huang.To manifese, analyze, compare and correct the “scheme of general fuzzy optimization” on multi-objective CNC finish turning, this research strengthened the feasibility of the fuzzy linguistic analysis to the multi-objective optimization, and then discussed the application value of spreading objective.
The results shown that, the different is small between optimization parameter members of the linguistic experiment (The rank is NO.8) and turning experiment. Besides, the objective of surface roughness surpasses 38.7% and tool wear is better 7.9%. It represents close to actual experiment and proves that there are pretty good quality characteristics. Accord with and study the anticipated direction. After this section, this paper discusses popularizing quality. Because of increasing objective also simultaneously increasing the whole fuzzy scope, the rank is backwardness to 33. But still have good quality characteristics. In summary, this research presses most close to the actual demand in order to consider three objectives, and is able to be as a set of basis mechanism of economy and prospect “general optimization of multi-objective”. Without operating the equipment, this research provides not only to lower costs, to promote quality effectively, but to encourage positively competitiveness and development in CNC finish industry.