Study on Parameter Optimization for Polishing

2010 ◽  
Vol 129-131 ◽  
pp. 1171-1175
Author(s):  
Mian Hao Zhang

Polishing is a manufacturing process for surface-smoothing. To minimize surface damage and defects, gentle polishing conditions are required. The main objective of this research is to determine the effect of polishing conditions by using Taguchi method , and to optimize the process parameters to obtain the best surface possible. The experimental results indicate that a set of optimal polishing conditions for producing work surface within the range of parameters evaluated, double oblique polishing path, relatively high speed and low feed rate are desirable for improve surface.

Author(s):  
Muataz Al Hazza ◽  
Khadijah Muhammad

High speed machining has many advantages in reducing time to the market by increasing the material removal rate. However, final surface quality is one of the main challenges for manufacturers in high speed machining due to the increasing of flank wear rate. In high speed machining, the cutting zone is under high pressure associated with high temperature that lead to increasing of the flank wear rate in which affect the final quality of the machined surface. Therefore, one of the main concerns to the manufacturer is to predict the flank wear to estimate and predict the surface roughness as one of the main outputs of the machining processes. The aim of this study is to determine experimentally the optimum cutting parameters: depth of cut, cutting speed (Vc) and feed rate (f) that maintaining low flank wear (Vb). Taguchi method has been applied in this experiment. The Taguchi method has been universally used in engineering analysis.  JMP statistical analysis software is used to analyse statically the development of flank wear rate during high speed milling of hardened steel AISI D2 to 60 HRD. The experiment was conducted in the following boundaries: cutting speed 200-400 m/min, feed rate of 0.01-0.05 mm/tooth and depth of cut of 0.1-0.2 mm. Analysis of variance ANOVA was conducted as one of important tool for statistical analysis. The result showed that cutting speed is the most influential input factors with 70.04% contribution on flank wear.


2019 ◽  
Vol 130 ◽  
pp. 01031 ◽  
Author(s):  
The Jaya Suteja ◽  
Yon Haryono ◽  
Andri Harianto ◽  
Esti Rinawiyanti

Polyacetal is commonly used as bushing material because of its low coefficient of friction and self lubricant characteristics. The polyacetal is machined by using boring process to produce bushing in certain surface roughness. The objectives of this research are to optimize three independent parameters (depth of cut, feed rate and principal cutting edge angle) of boring process of polyacetal using high speed steel tool to achieve the highest material removal rate and the required surface roughness. Response Surface Methodology is used to investigate the influence of the parameters and optimize the boring process. The research shows that the influence of the boring process parameters on polyacetal is similar compared to on metal. The result reveals that the optimum result is achieved by applying the value of depth of cut, feed rate, and principal cutting edge angle is 2.9 × 10–3 m, 0.229 mm rev–1, and 99.1° respectively. By applying these values, the maximum material rate removal achieved in this research is 1263.4 mm3 s–1 and the surface roughness achieved is 1.57 × 10–6 m.


OPSI ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 66
Author(s):  
Sutrisno Sutrisno Sutrisno ◽  
Dyah Rachmawati Lucitasari

Kasongan Ceramic UKM Center is an association of UKM which makes goods made from clay. Kasongan Ceramic UKM Center, located in Bantul Regency, DIY. The problem that is often experienced by Kasongan Ceramics Center is that products that are often cracked, warped, and easily brittle. The total production of Kasongan UKM Center from September 2019 to February 2020 was 32,256 units, with the number of defective products amounting to 3,873 or 12% of the total production. Based on the studies that have been done, it can be concluded that the defects of cracks, curling, and brittleness that occur are one of them caused by the less than optimal flexural strength of the ceramic products produced. To maximize the flexural strength of the ceramic products produced, the optimal ceramic manufacturing process parameters will be determined using the Taguchi method. To maximize the flexural strength in the process of making ceramics using the Taguchi method, it is necessary to do an experimental design. The first thing to do is to determine the controlled factors and levels in the ceramic manufacturing process that affect the flexural strength. After that determine a suitable orthogonal array and perform experiments based on the specified orthogonal array. The experimental results will be tested for its flexural strength in the laboratory. The resulting flexural strength data will be processed to determine the optimal ceramic manufacturing process parameters that maximize the bending strength of ceramics. Based on the data processing carried out, it is found that the optimal ceramic-making process parameters at the Kasongan Ceramics UKM Center that maximize flexural strength are the composition of 3 parts Godean clay, 3 parts Kasongan clay composition, 1 part sand composition, and burning using an open tub. 


2014 ◽  
Vol 564 ◽  
pp. 481-487 ◽  
Author(s):  
M.K.A.M. Ariffin ◽  
Hazami B. Che Hussain ◽  
Saiful Bahri Mohamed ◽  
S. Sulaiman

Electro discharge machining (EDM) is a process that uses an electric sparks to generate the high temperature and melt the workpiece. One of the EDM process is drilling. In EDM drilling, an electro thermal mechanism is introduced between the electrode and work piece to create the hole. The hole size is dependent on the diameters of electrode used during the drilling process. The present study performs Taguchi method to investigate the optimal process parameters for high-speed EDM super drill machine that is used to make a small hole. The workpiece used is made from titanium alloy (Ti-6: ASTM B348 Grade 5) and the copper electrode is 2.0 mm in diameter. In this experiment, the process parameters that were selected to be optimised are: current pulse off, maximum current and standard voltage levels. An orthogonal array L9 were employed to analyze the hole enlargement and material removal rate (MRR) depending on 2.0 mm diameter hole penetration. The optimum EDM parameters for hole making process was established and verified with the acquired results.


2019 ◽  
Vol 90 (9-10) ◽  
pp. 1067-1083 ◽  
Author(s):  
Yacheng Wang ◽  
Yuegang Liu ◽  
Yize Sun

This paper presents a hybrid intelligence technique based on the Taguchi method for multi-objective process parameter optimization of 3D additive screen printing of athletic shoes. 3D additive screen printing is mainly used in the high-end athletic shoes and clothes field. It requires overlapping and overprinting dozens of times to make the printed patterns stereoscopic. The process of 3D additive screen printing is complex and variable and the production cycle is long. Because of the variability of the screen printing process and the coupling between process parameters, there is no simple method to guide the trial production of new products and obtain the optimal process parameters of screen printing. Trial-and-error is often used but it expends a lot of manpower, materials, and financial resources. To solve the optimization problem, a Taguchi experiment based on fuzzy comprehensive evaluation with five factors and two responses was first designed. Then, a back-propagation network (BPN), least-squares support-vector machine (LSSVM), and random forest (RF) were trained with experimental data to obtain a forecasting model for the process parameters. On comparison, the RF forecasting model performed best in this case. Then, the multi-objective antlion optimizer (MOALO), which is a new multi-objective optimization algorithm with excellent performance, was improved to the IMOALO, and it was proved that IMOALO has a better performance than MOALO. Combining the RF forecasting model with IMOALO, and carrying out the optimization, the optimal process parameters were obtained. Actual printing production shows that the proposed hybrid intelligence technique improves the production efficiency and first pass yield of printed products.


Author(s):  
Nelson Wilson Paschoalinoto ◽  
Ed Claudio Bordinassi ◽  
Roberto Bortolussi ◽  
Fabrizio Leonardi ◽  
Sergio Delijaicov

This study focused on determining the residual stress of SAE 52100 hard-turned steel. The objective was to evaluate and compare the effects of the cutting-edge geometry and cutting parameters (cutting speed, feed rate, and cutting depth) on the residual stresses of three different conventional inserts: S-WNGA08 0408S01020A 7025, T-WNGA08 0408T01020A 7025, and S-WNGA432S0330A 7025. Tests were performed on 60 samples of SAE 52100 hardened steel with an average hardness of 58.5 HRC. The circumferential residual stresses of the samples were measured by X-ray diffraction. A full factorial design of experiments with three factors and two levels each with two central points and a replicate was used for a statistical analysis. The most significant results were as follows: For all inserts, the measured residual stresses were compressive, which extended the tool lifespan. The residual stresses of the Type-S inserts were significantly influenced by the cutting speed and depth, and those of the Type-T insert were significantly influenced by the feed rate and cutting depth. In addition, the residual stresses of the insert 3 were more compressive than those of the other two types of inserts. In other words, residual stresses are more compressive for inserts with larger chamfer angles even as the principal residual stress profiles were all compressive. This work has also shown that it is possible to determine a significant statistical relationship between cutting forces and residual stresses, allowing force measurements to predict the residual stress without any information on process parameters.


2014 ◽  
Vol 903 ◽  
pp. 129-134 ◽  
Author(s):  
Hazami Che Hussain ◽  
Ahmad Razlan Yusoff

Electro discharge machining (EDM) is a process that use an electric sparks to generate the high temperature and melts the work piece. One of the processes using this method is drilling process. By using this concept, an electro thermal mechanism between electrode and work piece can creates the hole enlargement and the size of the hole its depend on the diameters of electrode are used. The present study performs Taguchi method to investigate the optimal process parameters for high speed super drill machine that was used to make a small hole from titanium alloy (Ti-6: ASTM B348 Grade 5) by using 2.0 mm diameter of copper electrodes. In this experiment, the process parameters namely, current pulse off; maximum current and standard voltage level were selected to optimize. An orthogonal array L9 was employed to analyze the material removal rate (MRR) of the copper electrode of diameter 2.0 mm penetration. The optimum EDM hole process can be established through this method and the major parameters that effect the MRR can be also detected and verified the effectiveness through experimental results.


2014 ◽  
Vol 6 ◽  
pp. 925382 ◽  
Author(s):  
Suleyman Neseli

This research outlines the Taguchi optimization methodology, which is applied to optimize cutting parameters in drilling of AISI 1040 steel. The drilling parameters evaluated are cutting speed, feed rate, and helix angle. Series of experiments are conducted to relate the cutting parameters on the thrust force and torque. L27(313) orthogonal array, signal-to-noise ratio is employed to analyze the influence of these parameters on thrust force and torque during drilling. Analysis of variance (ANOVA) is used to study the effect of process parameters on machining process. The study shows that the Taguchi method is suitable to solve the stated problem with the minimum number of trials. The main objective is to find the important factors and combination of factors that influence the machining process to achieve low thrust force and torque. The analysis of the Taguchi method indicates that the feed rate is the most significant factor affecting the thrust force, while the cutting speed contributes the most to the torque.


2009 ◽  
Vol 69-70 ◽  
pp. 364-368
Author(s):  
Chang Yi Liu ◽  
Jun Jie Yi ◽  
Wen Hui Zhou ◽  
Cheng Long Chu

This paper presents a study of the Taguchi design methodology, which is applied to optimize flank milling operation parameters when machining titanium alloy Ti-6Al-4V in conventional and high speed regimes. This study includes cutting speed, feed rate and depth of cut. Experimental runs are conducted using an orthogonal array of L9(33), with measurement of surface roughness. ANOVA analyses are carried out to analyze the effect of these operation parameters, and the optimal parameters combination is determined by seeking the best surface roughness. The analysis of result shows that the optimal combination for good surface roughness is high cutting speed, low feed rate. Finally, confirmation run verifies the results, which indicated that Taguchi method is both efficient and effective in determining the Ti-6Al-4V flank milling parameters for the optimization with minimum number of trials.


2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Firman Yasa Utama ◽  
Tri Hartutuk Ningsih

Turning is a widely used machining process in which a single-point cutting tool removes material from the surface of a rotating cylindrical work piece..Process efficiency increase  significantly can be obtained by optimizing the process parameters, namely spindle rotation (n), feed rate (f) and depth of cut (a). In this research will optimize the surface roughness and hardness  simultaneously using a combination of turning process parameters. The research was conducted on the material S45-C.Taguchi method is used, which is a combination of fuzzy logic and Taguchi method. Matlab software that has Matlab fuzzy toolbox aided fuzzy logic process. Design experiment using orthogonal array L9 (33) varying the three parameters which each parameters has three levels. Experiment design of L9 orthogonal array varied factor or cutting parameters such as spindle rotation (n), feed rate (f) and depth of cut (a). Since noise factors are excluded from the experimental design, the experiments were conducted with replication. Optimization was done by using grey-fuzzy Taguchi method. The results of the optimization process is a combination of parameters that result in an optimal response. Based on a combination of these parameters will be carried out confirmation test. Confirmation test was done to match the prediction results with the actual response.The results showed a combination of turning process parameters of S45-C that can generate the optimal response is spindle rotation (n)605 Rpm, feed rate (f) of 0,031 mm/minand depth of cut (a) of0,125 mm.


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