OPTIMASI DESAIN PARAMETER UNTUK MENGHILANGKAN CACAT OVALITY PADA PROSES PEMESINAN PEMBUATAN PRODUK WELLHEAD

Produk Wellhead digunakan sebagai penutup kepala sumur setelah pengeboran minyak selesai dilakukan. Produk ini dibuat dengan proses turning dan milling. Permasalahan yang dihadapi adalah masih ditemukan cacat dimensi ovality proses pemesinan. Penelitian ini dilakukan untuk menentukan setting parameter optimum dari proses pemesinan turning dan milling dengan model persamaan regresi yang optimal. Parameter yang ditentukan adalah Kecepatan Potong (Vc), Kecepatan Pemakanan (f), dan Kedalaman Potong (Ap). Dengan metode experimental yang dilakukan dengan mengambil 20 sampel produk dengan setting parameter yang berbeda-beda. Hasil percobaan yang dilakukan, pada proses turning parameter yang paling berpengaruh terhadap ovality adalah kedalaman potong (Ap), dan pada proses milling adalah Kecepatan Potong (F). Selanjutnya dilakukan analisa dengan metode Surface Responseuntuk mendapatkan persamaan regresi optimal untuk ovality.

Optimization of Cutting Parameters of Slender Bar Based on Improved Artificial Bee Colony Algorithm

Improved artificial bee colony algorithm is proposed to solve the problem that how to select proper cutting parameters in multi-processing of slender bar in this passage. Under these constraints of cutting stability, surface roughness, cutting quantity and etc , the algorithm combined with four type decreasing inertia weight is used to search maximize production rate which is regarded as the objective function .The result indicates that the improved algorithm is of high effectiveness, high global convergence reliability and high velocity. The two convex functions strategy can greatly enhance convergence speed of the algorithm under the good accuracy of convergence conditions. The experience has proved the improved algorithm for solving the slender shaft turning parameter optimization has a theoretical significance.

Effect of the Heat Treatment Process on Machinability of TC4 Alloy

The orthogonal design approach is adopted to perform the cutting force experiment. It is based on the three typical metallographic phases of TC4 titanium alloy. The multiple-variable linear regression equations of the cutting force are built in term of the main technical parameters using the MINITAB software. Regression analysis is done, and an accurate empirical formula of TC4 cutting force is established. It is also optimized the cutting process parameters. The heat treatment’s technical laws of cutting force of TC4 titanium alloy are further undertaken, which provide a theoretical basis for improving cutting performance and optimizing turning parameter.

Study on the Multiple Objective Parameter Optimization Method for NC Turning

Nowadays NC cutting processing has become one of the basic methods of machine manufacture. However, the single precision has failed to meet the demand for the modern manufacture. The surface roughness, tools wear and material removal ratio are used as the objective to research, the orthogonal experiment is built by the Taguchi methods, and the fuzzy analysis is adopted to set up semantic rules between turning parameter and the objects. Then the Taguchi method is used to obtain the optical turning parameter. The QTN200M-500U NC turning center is used to carry out the turning experiment; Results from the experiments could be used as the references for future manufacturing designs.