Force-bearing defects and the use of methods to optimize the dynamic conversion process of steel systems
- سال انتشار: 1399
- محل انتشار: اولین کنفرانس بین المللی پژوهش در علوم مهندسی و علوم کاربردی
- کد COI اختصاصی: CESACONF01_008
- زبان مقاله: انگلیسی
- تعداد مشاهده: 364
نویسندگان
Graduated in manufacturing and production from Azad University
چکیده
The purpose of this paper is to study the effect of cutting parameters on cutting force (Fc) & feed force in turning Process. This present investigation details the determination of optimum machining conditions for turning of PH stainless steel by grey fuzzy approach which is a fast and effective optimization technique having combinatorial advantages of both grey system and fuzzy logic approach. Taguchi’s design of experiment method is employed for designing and an L27 orthogonal array is selected for performing the experiments. The cutting speed, feed rate and depth of cut are considered as input variables. The surface roughness and power consumption are deemed as performance characteristics. Taguchi based grey system approach and grey-fuzzy grade are used to evaluate the relationship between input variables and performance measures. To convert the multi-quality characteristics into a single performance index, the fuzzy inference system is used. It is proved from the investigation that the proposed method of optimization technique improves the multi performance characteristics effectively.The entry point can be determined from the ball-race geometry relation, while the exit point can be identified from the time domain signal. Therefore, the defect size can be estimated from the vibration signal without requiring additional bearing load and stiffness measurements.Experiments were conducted on a precision centre lathe and the influence of cutting parameters was studied using analysis of variance (ANOVA) based on adjusted approach. Based on the main effects plots obtained through full factorial design, optimum level for surface roughness and cutting force were chosen depth of cut, and the interaction of feed and depth of cut significantly influenced the variance. In case of surface roughness, from the three levels of cutting parameters considered Linear regression equation of cutting force has revealed that feed, the influencing factors were found to be feed and the interaction of speed and feed. As turning of mild steel using HSS is one among the major machining operations in manufacturing industry, the revelation made in this research would significantly contribute to the cutting parameters optimization.کلیدواژه ها
Taguchi, ANOVA, surface roughness, cutting force, feed force interaction effect, main effectsمقالات مرتبط جدید
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