scholarly journals Quality Prediction of Polygonal Helical Curved Tube by Abrasive Flow Precision Machining

2021 ◽  
Author(s):  
Junye Li ◽  
Shangfu Zhu ◽  
Jinbao Zhu ◽  
Chengyu Xu ◽  
Hengfu Zhang ◽  
...  
Keyword(s):  
Experimental Data ◽  
Prediction Model ◽  
Surface Quality ◽  
Process Parameters ◽  
Orthogonal Experimental Design ◽  
Quality Prediction ◽  
Optimal Process ◽  
Curved Tube ◽  
Inner Surface

Abstract Polygonal helical curved tube is the main form of rifling barrel, which surface quality determines the shooting accuracy of gun. Abrasive flow machining (AFM) technology can significantly improve its inner surface quality. In order to study the influence of AFM technical parameters on the inner surface quality of polygonal helical curved tube, orthogonal experimental design (OED) was used as the research method in this paper. By means of analysis of variance (ANOVA) of experimental data, the degree of influence of inlet pressure, abrasive concentration, abrasive particle size and machining time on the inner surface quality of polygonal helical curved tube was determined, and the optimal combination of process parameters was obtained. Under the optimal process parameters, the surface roughness Ra value in the inlet area of polygonal helical curved tube was reduced to 0.098 µm. The surface quality was significantly improved. Based on the regression analysis of experimental data, the quality prediction model of polygonal helical curved tube roughness by AFM was established to realize the effective prediction of surface quality after machining. The fitting value calculated by the model with optimal process parameters is close to the experimental value, which proves the accuracy and validity of the prediction model.

scholarly journals Enhancing the Surface Quality of Micro Titanium Alloy Specimen in WEDM Process by Adopting TGRA-Based Optimization

Materials ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1440 ◽  
Author(s):  
Muthuramalingam Thangaraj ◽  
Ramamurthy Annamalai ◽  
Khaja Moiduddin ◽  
Mohammed Alkindi ◽  
Sundar Ramalingam ◽  
...  
Keyword(s):  
Decision Making ◽  
Surface Quality ◽  
Process Parameters ◽  
Quality Measures ◽  
Machining Process ◽  
Optimal Process ◽  
Input Process ◽  
Process Factors ◽  
Wedm Process

The surface measures of machined titanium alloys as dental materials can be enhanced by adopting a decision-making algorithm in the machining process. The surface quality is normally characterized by more than one quality parameter. Hence, it is very important to establish multi-criteria decision making to compute the optimal process factors. In the present study, Taguchi–Grey analysis-based criteria decision making has been applied to the input process factors in the wire EDM (electric discharge machining) process. The recast layer thickness, wire wear ratio and micro hardness have been chosen to evaluate the quality measures. It was found that the wire electrode selection was the most influential factor on the quality measures in the WEDM process, due to its significance in creating spark energy. The optimal arrangement of the input process parameters has been found using the proposed approach as gap voltage (70 V), discharge current (15 A) and duty factor (0.6). It was proved that the proposed method can enhance the efficacy of the process. Utilizing the computed combination of optimal process parameters in surface quality analysis has significantly contributed to improving the quality of machining surface.

The mechanism of process parameters influencing the AlSi10Mg side surface quality fabricated via laser powder bed fusion

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shimin Dai ◽  
Hailong Liao ◽  
Haihong Zhu ◽  
Xiaoyan Zeng
Keyword(s):  
Surface Roughness ◽  
Surface Quality ◽  
Process Parameters ◽  
Laser Power ◽  
Side Surface ◽  
Laser Powder Bed Fusion ◽  
Scanning Velocity ◽  
Content Type ◽  
Powder Bed

Purpose For the laser powder bed fusion (L-PBF) technology, the side surface quality is essentially important for industrial applicated parts, such as the inner flow parts. Contour is generally adopted at the parts’ outline to enhance the side surface quality. However, the side surface roughness (Ra) is still larger than 10 microns even with contour in previous studies. The purpose of this paper is to study the influence of contour process parameters, laser power and scanning velocity on the side surface quality of the AlSi10Mg sample. Design/methodology/approach Using L-PBF technology to manufacture AlSi10Mg samples under different contour process parameters, use a laser confocal microscope to capture the surface information of the samples, and obtain the surface roughness Ra and the maximum surface height Rz of each sample after analysis and processing. Findings The results show that the side surface roughness decreases with the increase of the laser power at the fixed scanning velocity of 1,000 mm/s, the side surface roughness Ra stays within the error range as the contour velocity increases. It is found that the Ra increases with the scanning velocity increasing and the greater the laser power with the greater Ra increases when the laser power of contour process parameters is 300 W, 350 W and 400 W. The Rz maintain growth with the contour scanning velocity increasing at constant laser power. The continuous uniform contour covers the pores in the molten pool of the sample edge and thus increase the density of the sample. Two mechanisms named “Active adhesion” and “Passive adhesion” cause sticky powder. Originality/value Formation of a uniform and even contour track is key to obtain the good side surface quality. The side surface quality is determined by the uniformity and stability of the contour track when the layer thickness is fixed. These research results can provide helpful guidance to improve the surface quality of L-PBF manufactured parts.

Ultraschallüberlagertes Trennschleifen von Faserverbundwerkstoffen*/Ultrasound abrasive cutting of fiber composites - Survey on the potential and mode of action

2016 ◽  
Vol 106 (01-02) ◽  
pp. 39-43
Author(s):  
Y. Babenko ◽  
T. Mayer ◽  
A. Gebhardt
Keyword(s):  
Surface Quality ◽  
Process Parameters ◽  
Mode Of Action ◽  
Fiber Composites ◽  
Cutting Process ◽  
Force Analysis ◽  
Abrasive Cutting

Dieser Fachartikel befasst sich mit der Untersuchung des Potentials der Ultraschallüberlagerung beim Trennschleifen moderner Faserverbundwerkstoffe. Es wurde eine Zerspankraftanalyse des Trennschleifprozesses am CFK-Werkstück mit variierenden Prozessparametern durchgeführt. Zudem wurden die Oberflächenqualitäten der Schnittkanten betrachtet.   The presented study describes the investigation of the potential of ultrasound abrasive cutting of modern fiber composites. A force analysis of the abrasive cutting process of CFRP was conducted, while the process parameters were varied. In addition, the surface quality of the machined workpieces was observed.

scholarly journals ANALYSIS OF THE SURFACE QUALITY OF PARTS PROCESSED BY SINGLE POINT INCREMENTAL FORMING

2016 ◽  
Vol 19 (3) ◽  
Author(s):  
CRINA RADU ◽  
EUGEN HERGHELEGIU ◽  
ION CRISTEA ◽  
CAROL SCHNAKOVSZKY
Keyword(s):  
Surface Quality ◽  
Process Parameters ◽  
Incremental Forming ◽  
Single Point ◽  
Single Point Incremental Forming ◽  
Metal Sheets ◽  
Vertical Step ◽  
Tool Diameter ◽  
Aluminium Metal

<p>The aim of the current work was to analyse the influence of the process parameters (tool diameter, size of the vertical step of tool, feed rate and spindle speed) on the quality of the processed surface, expressed in terms of roughness and macrostructure in the case of parts processed by single point incremental forming. The analysis was made on A1050 aluminium metal sheets. The obtained results revealed that the process parameters influence differently the surface quality, the worst influence being exerted by the increase of the vertical step of tool. </p>

scholarly journals Research on the Molding Design and Optimization of the Molding Process Parameters of the Automobile Trunk Trim Panel

2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
Youmin Wang ◽  
Zhaozhe Zhu ◽  
Lingfeng Tang ◽  
Qinshuai Jiang
Keyword(s):  
Process Parameters ◽  
Heating Temperature ◽  
Process Parameter ◽  
Shrinkage Rate ◽  
Optimal Process ◽  
Molding Process ◽  
Rate Maximum ◽  
Thinning Rate ◽  
Trim Panel

In order to put forward the theoretical calculation formula for the compression force of the compression mold of the trunk trim panel, obtain the influence trend of the process parameters on the molding quality of the trunk trim panel, and obtain the optimal process parameters combination for the compression molding of the trunk trim panel, four process parameters, the heating temperature, time, compression pressure, and holding time, which affected the compression molding, were selected as the level factors; the maximum thinning rate, maximum thickening rate, and shrinkage rate of the trunk trim panel were selected as evaluation indicators and orthogonal experiments were designed and completed; the comprehensive weighted scoring method was used to obtain the comprehensive score results and obtain the comprehensive evaluation indicators of the best combination of process parameters of trunk trim panel; BP neural network and genetic algorithm were used to study the change trend of the evaluation indicators of trunk trim panel with the changes of process parameters; based on the optimal process parameter combination and the established neural network’s prediction function, the maximum thinning rate, maximum thickening rate, and shrinkage rate under a single process parameter change could be predicted, and the influence of a single process parameter on the maximum thinning rate, maximum thickening rate, and shrinkage rate could be obtained; the process parameters were optimized, and a maximum thinning rate of 28%, a maximum thickening rate of 4.3%, and a shrinkage rate of 0.8% were obtained; the optimal molding process parameters of the trunk trim panel were heating temperature of 209°C, heating time of 62 s, molding pressure of 14 kPa, and holding pressure time of 49 s; after optimization, the maximum shrinkage rate was 28.0880%, the maximum thickening rate was 44.3264%, and the shrinkage rate was 0.8901%; according to the optimal process parameters, the quality of the trunk trim panel was very good, which met the production quality requirements.

Simulation System for Quality Prediction and Parameters Optimization when Machining Ceramics Die Material

2008 ◽  
Vol 53-54 ◽  
pp. 299-303
Author(s):  
Zong Wei Niu ◽  
Zhi Yong Li ◽  
F.F. Wang ◽  
Dian Zhu Sun
Keyword(s):  
Surface Quality ◽  
Intelligent System ◽  
Simulation System ◽  
Parameters Optimization ◽  
Quality Prediction ◽  
Machining Parameters ◽  
Machining Quality ◽  
Die Material ◽  
Process Database

A simulation system was developed to forecast machining quality and optimize grinding parameters for the machining of ceramic die material. The system can forecast the surface quality of machined ceramic die material with high precision, optimize machining parameters and analyze the dominant factors. Based on the process database, the simulation system is applicable to various machining methods. It can help to raise the automaticity for the machining of ceramic die material and develop the farther intelligent system.

Effect of process parameters on formability and surface quality of selective laser melted Al-Zn-Sc-Zr alloy from single track to block specimen

2019 ◽  
Vol 118 ◽  
pp. 132-139 ◽  
Author(s):  
Jiang Bi ◽  
Zhenglong Lei ◽  
Yanbin Chen ◽  
Xi Chen ◽  
Xikun Qin ◽  
...  
Keyword(s):  
Surface Quality ◽  
Process Parameters ◽  
Single Track ◽  
Zr Alloy

scholarly journals The Influence of Process Parameters and Scanning Strategy on Lower Surface Quality of TA15 Parts Fabricated by Selective Laser Melting

Metals ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1228
Author(s):  
Junjie Jiang ◽  
Jianming Chen ◽  
Zhihao Ren ◽  
Zhongfa Mao ◽  
Xiangyu Ma ◽  
...  
Keyword(s):  
Surface Quality ◽  
Selective Laser Melting ◽  
Process Parameters ◽  
Flexible Manufacturing ◽  
Molten Pool ◽  
Lower Surface ◽  
Laser Melting ◽  
Scanning Strategy ◽  
Influence Of Process Parameters

With superior flexible manufacturing capability, selective laser melting (SLM) has attracted more and more attention in the aerospace, medical, and automotive industries. However, the poor quality of the lower surface in overhanging structures is still one of the factors that limits the wide application of SLM. In this work, the influence of process parameters and scanning strategy on the lower surface quality of SLMed TA15 (Ti-6Al-2Zr-1Mo-1V) titanium alloy parts were studied. The results showed that the laser surface energy density (EF) had a significant influence on the quality of the lower surface. Excessive EF led to obvious sinking of the molten pool and a serious slag hanging phenomenon. However, the too low EF easily contributed to the insufficient powder fusion in the lower surface area, which led to the agglomeration of a molten pool during core processing, resulting in slag hanging, pores, and powder spalling that reduced the quality of the lower surface. Moreover, the cross-remelting strategy and non-remelting strategy gained better surface quality at the low EF and high EF, respectively. In addition, it was found that the quality of the lower surface could be quickly and accurately evaluated by the cooling time of the molten pool during the processing of the lower surface. This research can increase the understanding of the forming mechanism of the lower surface and has certain guiding significance for the process optimization of the lower surface.

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