Technique of Comparison and Optimization of Conditions for Magnetic Abrasive Finishing

Abstract

In this paper, the new technique involving comparison and optimization of conditions for Magnetic Abrasive Finishing (MAF) is suggested, taking into account the basic laws stated for process MAF. The formulas for the calculation of the criteria for optimization are created when the process MAF is used for polishing, removal of burrs, and other purposes. The application of the technique is shown in an experiment on the optimization conditions for the removal of burrs after drilling using the MAF method. The technique can be used after standards for this process are developed.

Development of Face Magnetic Inductor with Permanent Magnets for Deburring Using MAF Process

“…8, b). The evaluation methods described in [3] were used to compare the two types. The equations of type q = q 1 τ m were calculated from the experiment that measured the specific removed mass according to the elapsed time and they were approximated for each of the inductors.…”

“…A new type of powder was used in each test with an initial volume of V p , which was equal to 40, 60, 80 and 120% of V δ . Similar to the technique described in [3], the curves for the burr height h b = f(τ) were approximated from the measured burr height and then used to calculate the deburring time T d for full burr removal. The magnitude T d was used to compare the deburring results.…”

Prediction of surface roughness in magnetic abrasive finishing using acoustic emission and force sensor data fusion

“…As this process can produce surface roughness in the nanometre range on both flat and free-form surfaces [2], it can be utilized as a finishing technology for ultraprecision parts, including sophisticated optoelectrical products. In spite of much intensive research including theoretical and simulation studies and experimental studies examining various polishing conditions and workpieces [1][2][3][4][5][6][7][8][9], clarification of the relationship between the final surface texture and major *Corresponding author: Department of Mechanical Engineering, Hanyang University, 1271 Sa 1-Dong, Ansan, Kyunggi-Do, 425-791, South Korea. email: sunglee@hanyang.ac.kr process parameters remains a challenging problem for implementing MAF.…”

“…Moreover, to implement sensor monitoring schemes for manufacturing applications, an intelligent methodology that can increase accuracy and J H Oh and S H Lee Table 1 Typical MAF parameters and their values [1][2][3][4][5][6][7][8][9] Abrasive size Quill speed Gap distance Feed rate R a , R a , after Particles size (µm) (r/min) (mm) (mm/min) initial (µm) finishing (µm) Applications resolve ambiguities in decision making/prediction processes is required [12][13][14]. In the present research, sensor data fusion is adapted to integrate the information from various sensors and to extract relevant features from a large acquired dataset.…”