Multiple performance characteristic index optimization of dimensional accuracy and geometrical shape angle in turn-mill multitasking machining

2021 ◽  
pp. 095440542110285
Author(s):  
Wei-Tai Huang ◽  
Shih-Cheng Yang ◽  
Wen-Hsien Ho ◽  
Jinn-Tsong Tsai
Keyword(s):  
Performance Characteristic ◽  
Fuzzy Theory ◽  
Dimensional Accuracy ◽  
Processing Parameters ◽  
Geometrical Shape ◽  
Characteristic Index ◽  
Control Factors ◽  
Experimental Sequence ◽  
Gray Correlation ◽  
Robust Process

Multiple performance objectives in turn-mill multitasking machining are investigated using the Taguchi method combined with the fuzzy theory. Using these two methods, optimized processing parameters can be rapidly identified to obtain optimized dimensional accuracy and geometrical shape angle, thus reducing machining cost and time. Herein, control factors for determining the single objective optimization parameter using the Taguchi robust process L9(34) orthogonal table were spindle speed (rpm), feed (mm/min), C-axis brake pressure (kg/cm2), axial cutting depth (mm), with dimensional accuracy and geometrical shape angle as objective characteristics. Then, signal-to-noise ratios of different groups were generated by gray correlation according to the experimental sequence to obtain the gray correlation coefficient for the calculation of the multiple performance characteristic index (MPCI). The MPCI results demonstrated that optimized dimensional accuracy was 0.005 mm and optimized geometrical shape angle was 0.004°. The optimized MPCI parameters were A3 (4000 rpm), B3 (250 mm/min), C3 (30 kg/cm2), and D3 (1.5 mm). It can reduce the processing for burr elimination and tool wear reduction by MPCI optimized process parameters.

A Study on Nanocrystalline Nickel Parts Prepared by Jet Electrodeposition

2010 ◽  
Vol 37-38 ◽  
pp. 64-67
Author(s):  
Jin Song Chen ◽  
Yin Hui Huang ◽  
Bin Qiao ◽  
Jian Ming Yang ◽  
Yi Qiang He
Keyword(s):  
Dimensional Accuracy ◽  
Processing Parameters ◽  
X Ray Diffraction ◽  
Scanning Microscope ◽  
Nanocrystalline Nickel ◽  
X Ray ◽  
Fine Grained ◽  
Average Grain Size ◽  
Jet Electrodeposition ◽  
Fine Grained Structure

The principles of jet electrodeposition orientated by rapid prototyping were introduced. The nanocrystalline nickel parts with simple shape were fabricated using jet electrodeposition. The microstructure and phase transformation of nanocrystalline nickel were observed under the scanning microscope and X-ray diffraction instrument. The results show that the jet electrodeposition can greatly enhance the limited current density, fine crystalline particles and improve deposition quality. The nickel parts prepared by jet electrodeposition own a fine-grained structure (average grain size 25.6nm) with a smooth surface and high dimensional accuracy under the optimum processing parameters.

Electrodeposited Nanocrystalline Nickel Parts

2012 ◽  
Vol 201-202 ◽  
pp. 1102-1105
Author(s):  
Jin Song Chen ◽  
Jian Ming Yang
Keyword(s):  
Rapid Prototyping ◽  
Dimensional Accuracy ◽  
Processing Parameters ◽  
Nanocrystalline Nickel ◽  
Fine Grained ◽  
Average Grain Size ◽  
Machined Parts ◽  
Jet Electrodeposition ◽  
Fine Grained Structure ◽  
Metallic Parts

The principles of jet electrodeposition orientated by rapid prototyping were introduced , The nanocrystalline nickel parts with simple shape were fabricated using jet electrodeposition oriented by rapid prototyping. The microstructure and phase transformation of nanocrystalline nickel were observed under the scanning microscope and X-ray diffraction instrument . The results show that the successful fabrication of metallic parts demonstrates the potential of the jet electrodeposition process for prototyping technology . The jet electrodeposition can greatly enhance the limited current density, fine crystalline particles and improve deposition quality. The nickel parts prepared by jet electrodeposition own a fine-grained structure( average grain size 25.6nm) with a smooth surface and high dimensional accuracy under the optimum processing parameters..The dimensional accuracy as well as the surface quality of metallic parts and tools manufactured using jet electrodeposition techniques still lag far behind those of conventionally machined parts.

scholarly journals Mechanism of Chip Formation Process at Grinding

2019 ◽  
Vol 297 ◽  
pp. 09002
Author(s):  
Vyacheslav Shumyacher ◽  
Sergey Kryukov ◽  
Olga Kulik ◽  
Xavier Kennedy
Keyword(s):  
Formation Process ◽  
Chip Formation ◽  
High Speed ◽  
Cutting Speed ◽  
Dimensional Accuracy ◽  
Processing Parameters ◽  
Abrasive Grain ◽  
Wave Heating ◽  
High Speed Grinding

The mechanism of chip formation process at grinding is described, which involves a high-speed interaction of abrasive grain and metal, which leads to a concentration of thermal energy in front of the dispersing element (grain), causing a locally concentrated shift in the metal microvolume. In “abrasive grain -metal” contact a dissipative structure is formed which existence is supported by exchange of energy and substance with environment. Due to shock compression of the metal microvolume with abrasive grain, shock-wave heating is realized, initiating emission of electrons ionizing the lubricating cooling fluid in the zone of formation of side micro-scratches left by abrasive. The results obtained in the course of the research can be used to explain the mechanisms of chip formation, as well as the course of the physical and mechanical processes occurring on the surface layers of the grinded workpieces. By controlling chip formation processes at high-speed grinding, by optimally selecting the appropriate ratios between cutting speed and other processing parameters, a reduction in process thermal density can be achieved, which, with the highest productivity, will allow to obtain the required quality of the surface layer of the workpieces and a given dimensional accuracy.

Study on the Forming Accuracy and Density of Eucalyptus/PES Fabricated by Laser Sintering

2015 ◽  
Vol 667 ◽  
pp. 200-205
Author(s):  
Yan Ling Guo ◽  
Yue Qiang Yu ◽  
Kai Yi Jiang
Keyword(s):  
Layer Thickness ◽  
Laser Power ◽  
Dimensional Accuracy ◽  
Processing Parameters ◽  
Variable Density ◽  
Laser Sintering ◽  
Powder Size ◽  
Forming Accuracy ◽  
Preheating Temperature ◽  
Forming Precision

. Based on orthogonal test, the forming accuracy and density of laser sintering eucalyptus/PES blend is studied in this paper. It mainly analysed the effect of the powder size and process parameters (such as laser power, layer thickness, preheating temperature, etc) on the forming precision and density of sintered eucalyptus/PES parts, also the correlation analysis of molding error caused by the powder’s physical properties and machine is performed. By measuring the parts’ dimensions, the results show that the laser power and powder size are two main factors influencing parts’ density, and variable density, layer thickness and preheating temperature jointly affect the dimensional accuracy. The optimized processing parameters are obtained. The powder size, laser power, scanning rate, layers thickness and preheating temperature are 300 mesh, 43W, 2000mm/s, 0.1mm, 60°C respectively.

Experimental Investigation of Stratasys J750 PolyJet Printer: Effects of Finish Type and Shore Hardness on Dimensional Accuracy

2019 ◽  
Author(s):  
Xingjian Wei ◽  
Ketan Thakare ◽  
Li Zeng ◽  
Zhijian Pei
Keyword(s):  
Experimental Investigation ◽  
Dimensional Accuracy ◽  
3D Printer ◽  
Limited Information ◽  
Shore Hardness ◽  
Control Factors ◽  
Full Color

Abstract The J750 PolyJet printer is the newest model of full-color and multi-material 3D printer from Stratasys. Currently, limited information is available about the effects of control factors on dimensional accuracy of parts printed by this printer. In this study, the effects of two control factors, finish type and Shore hardness, on dimensional accuracy are investigated. The results suggest that both control factors significantly affect dimensional accuracy. Specifically, samples printed with glossy finish exhibit more accurate dimensions than those with matte finish, and larger Shore hardness value leads to better dimensional accuracy. These results would be valuable to researchers and practitioners who use the J750 3D printer.

Optimum processing parameters of sueding fabric comfort by applying the Taguchi method and fuzzy theory

2019 ◽  
Vol 89 (23-24) ◽  
pp. 5165-5176 ◽  
Author(s):  
Chung-Feng Jeffrey Kuo ◽  
Wen-Tsung Lin
Keyword(s):  
Water Vapor ◽  
Taguchi Method ◽  
Thermal Transport ◽  
Fuzzy Theory ◽  
Signal To Noise Ratio ◽  
Processing Parameters ◽  
Optimal Combination ◽  
Fuzzy Approach ◽  
Functional Characteristics ◽  
Water Vapor Transmission

In recent years, as consumers have increasingly higher demands for the functionality of clothing, fabrics with additional functionality have been developed. The state of physical functionality experienced by a wearer under a given environmental condition is greatly influenced by the tactile, thermal and moisture transport properties of the fabric. In modern textiles, finishing is generally used to improve the appearance or other properties of fabrics. Sueding is a common finishing method. In order to meet the requirements of functionality in the process of sueding, the production process must be adjusted according to the features of the fabrics. The main method is the setting of processing parameters. This study focuses on the water vapor transmission and thermal transport, which are the main functional characteristics, and uses the fuzzy approach to acquire the combination of sueding processing parameters to optimize multiple functional characteristics. Firstly, for the main processing parameters of the sueding machine, the Taguchi method is used to obtain an orthogonal array for the experimental design. The measured water vapor transmission and thermal transport data of the fabric are used to calculate the signal-to-noise ratio. An analysis of variance is conducted to obtain the significant factors with a greater impact on functional characteristics. The fuzzy approach is used to analyze and obtain the optimal combination of processing parameters of multiple functional characteristics. This optimal combination of processing parameters is used to set the processing parameters. The reliability and reproducibility of the experiment are verified by confirmation experiments.

Investigations for Statistically Controlled Hot Chamber Die Casting Solution of Aluminium Alloys

2016 ◽  
Vol 1137 ◽  
pp. 132-138
Author(s):  
Rupinder Singh
Keyword(s):  
Aluminium Alloys ◽  
Die Casting ◽  
Dimensional Accuracy ◽  
Processing Parameters ◽  
Al Alloy ◽  
Statistical Control ◽  
Functional Validation ◽  
Macro Model ◽  
Casting Solution ◽  
Hot Chamber Die Casting

The purpose of the present investigations is to study the effect of processing parameters on statistically controlled hot chamber die casting solution for Al alloy. The study presented in this paper is based on a macro model (based on Taguchi design). Castings prepared at proposed parametric settings (as per macro model) have been investigated for functional validation of the parts. The study suggested significant improvement in dimensional accuracy (ΔD) at proposed parametric settings and the process was found to be under statistical control.

Processing Stability Analysis of Wire Cut Electric Discharge Machine with High Speed

2013 ◽  
Vol 443 ◽  
pp. 74-78
Author(s):  
Jing Wang ◽  
Ming Gui Zhou
Keyword(s):  
Electric Discharge ◽  
High Speed ◽  
Dimensional Accuracy ◽  
Processing Parameters ◽  
Cutting Fluid ◽  
Processing Efficiency ◽  
Electric Discharge Machine ◽  
Wire Cutting ◽  
Discharge Machine ◽  
Processing Stability

In this article, unstable factor analysis is done in Wire cut electric discharge machine with high speed (WEDM HS), which focus on effect of processing Stability from electrical processing parameters, machine parameters, electrode wire, cutting fluid and conductive block, and how to adjust and excluding factors in order to enhance WEDM processing stability ,ensure machine parts surface quality, dimensional accuracy and processing efficiency.

Modeling Machine Motion and Process Parameter Errors for Improving Dimensional Accuracy of Fused Deposition Modeling Machines

2018 ◽  
Vol 140 (12) ◽  
Author(s):  
Jiaqi Lyu ◽  
Souran Manoochehri
Keyword(s):  
Computer Aided Design ◽  
Fused Deposition Modeling ◽  
Dimensional Accuracy ◽  
Processing Parameters ◽  
Error Model ◽  
Fused Deposition ◽  
Model Combining ◽  
Before And After ◽  
Deposition Modeling ◽  
Integrated Error

The dimensional accuracy of fused deposition modeling (FDM) machines is dependent on errors caused by processing parameters and machine motions. In this study, an integrated error model combining these effects is developed. Extruder temperature, layer thickness, and infill density are selected as parameters of this study for three FDM machines, namely, Flashforge Finder, Ultimaker 2 go, and XYZ da Vinci 2.0 Duo. Experiments have been conducted using Taguchi method and the interactions between processing parameters are analyzed. Based on the dimensional deviations between fabricated parts and the computer aided design (CAD) geometry, a set of coefficients for the integrated error model are calculated to characterize each machine. Based on the results of the integrated error model, the original CAD geometry is optimized for fabrication accuracy on each machine. New parts are fabricated using the optimized CAD geometries. Through comparing the dimensional deviations of parts fabricated before and after optimization, the effectiveness of the integrated error model is analyzed and demonstrated for the three FDM machines.

The Optimization Design Study of Selective Laser Sintering Process Parameters on the Pro-Coated Sand Mold

2011 ◽  
Vol 55-57 ◽  
pp. 853-858
Author(s):  
Rong Cheng ◽  
Xiao Yu Wu ◽  
Jian Ping Zheng
Keyword(s):  
Layer Thickness ◽  
Process Parameters ◽  
Laser Power ◽  
Selective Laser Sintering ◽  
Dimensional Accuracy ◽  
Processing Parameters ◽  
Laser Sintering ◽  
Process Variables ◽  
Scan Speed ◽  
Coated Sand

This paper presents experimental investigations on influence of important process parameters viz., laser power, scan speed, layer thickness, hatching space along with their interactions on dimensional accuracy of Selective Laser Sintering (SLS) processed pro-coated sand mold. It is observed that dimensional error is dominant along length and width direction of built mold. Optimum parameters setting to minimize percentage change in length and width of standard test specimen have been found out using Taguchi’s parameter design. Optimum process conditions are obtained by analysis of variance (ANOVA) is used to understand the significance of process variables affecting dimension accuracy. Scan speed and hatching space are found to be most significant process variables influencing the dimension accuracy in length and width. And laser power and layer thickness are less influence on the dimension accuracy. The optimum processing parameters are attained in this paper: laser power 11 W; scan speed 1200 mm/s; layer thickness 0.5 mm and hatching space 0.25 mm. It has been shown that, on average, the dimensional accuracy under this processing parameters combination could be improved by approximately up to 25% compared to other processing parameters combinations.

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