Anlagenabhängigkeit von optimalen Prozessparametereinstellungen beim Laser-Sintern unterschiedlicher Thermoplaste / Machine-Related Dependance of Optimal Process Parameter Settings during Laser Sintering of Different Thermoplastics

2016 ◽  
pp. 90-106
Author(s):  
Andreas Wegner ◽  
Gerd Witt
Keyword(s):  
Laser Sintering ◽  
Process Parameter ◽  
Optimal Process ◽  
Optimal Process Parameter

scholarly journals Optimization of lapping process parameters of CP-Ti based on PSO with mutation and BPNN

2021 ◽  
Author(s):  
Kaiqiang Ye ◽  
Jianbin Wang ◽  
Hong Gao ◽  
Liu Yang ◽  
Ping Xiao
Keyword(s):  
Neural Network ◽  
Particle Swarm Optimization ◽  
Process Parameters ◽  
Particle Swarm ◽  
Process Parameter ◽  
Optimal Process ◽  
Swarm Optimization ◽  
The Neural Network ◽  
Cp Ti ◽  
Optimal Process Parameter

Abstract This work aims to improve the surface quality of commercially pure titanium (CP-Ti) with free alumina lapping fluid and establish the relationship between the main process parameters of lapping and roughness. On this basis, the optimal process parameters were searched by performing particle swarm optimization with mutation. First, free alumina lapping fluid was used to perform an L9(33) orthogonal experiment on CP-Ti to acquire data samples to train the neural network. At the same time, a BP neural network was created to fit the nonlinear functional relation among the lapping pressure P, spindle speed n, slurry flow Q and roughness Ra. Then, the range of the node numbers in the hidden layer of the neural network was determined by empirical formulas and the Kolmogorov theorem. On this basis, particle swarm optimization with mutation was used to search for the optimal process parameter configurations for lapping CP-Ti. The optimal process parameter configurations were used in the neural network to calculate the prediction value. Finally, the accuracy of the prediction was verified experimentally. The optimum process parameter configurations found by particle swarm optimization were as follows: the lapping pressure was 5 kPa, spindle speed was 60 r·min− 1 and slurry flow was 50 ml·min− 1. Then, the configurations were applied to a neural network to simulate prediction: the roughness was 0.1127 µm. The roughness obtained by experiments was 0.1134 µm. The error was 0.62%, which indicates that the well-trained neural network can achieve a good prediction when experimental data are missing. Applying the particle swarm optimization (PSO) algorithm with mutation to a neural network will obtain the optimal process parameter configurations, which can effectively improve the surface quality of CP-Ti lapped with free abrasive.

Selection of selective laser sintering materials for different applications

2015 ◽  
Vol 21 (6) ◽  
pp. 630-648 ◽  
Author(s):  
Sunil Kumar Tiwari ◽  
Sarang Pande ◽  
Sanat Agrawal ◽  
Santosh M. Bobade
Keyword(s):  
Process Parameters ◽  
High Performance ◽  
Material Selection ◽  
Selective Laser Sintering ◽  
Laser Sintering ◽  
Optimal Process ◽  
Content Type ◽  
Volume Production ◽  
High Performance Application ◽  
Selection Of

Purpose – The purpose of this paper is to propose and evaluate the selection of materials for the selective laser sintering (SLS) process, which is used for low-volume production in the engineering (e.g. light weight machines, architectural modelling, high performance application, manufacturing of fuel cell, etc.), medical and many others (e.g. art and hobbies, etc.) with a keen focus on meeting customer requirements. Design/methodology/approach – The work starts with understanding the optimal process parameters, an appropriate consolidation mechanism to control microstructure, and selection of appropriate materials satisfying the property requirement for specific application area that leads to optimization of materials. Findings – Fabricating the parts using optimal process parameters, appropriate consolidation mechanism and selecting the appropriate material considering the property requirement of applications can improve part characteristics, increase acceptability, sustainability, life cycle and reliability of the SLS-fabricated parts. Originality/value – The newly proposed material selection system based on properties requirement of applications has been proven, especially in cases where non-experts or student need to select SLS process materials according to the property requirement of applications. The selection of materials based on property requirement of application may be used by practitioners from not only the engineering field, medical field and many others like art and hobbies but also academics who wish to select materials of SLS process for different applications.

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.

scholarly journals Influence of a Zn Interlayer on the Interfacial Microstructures and Mechanical Properties of Arc-Sprayed Al/AZ91D Bimetals Manufactured by the Solid–Liquid Compound Casting Process

Materials ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3273 ◽  
Author(s):  
He ◽  
Zhao ◽  
Cheng ◽  
Shangguan ◽  
Wen ◽  
...  
Keyword(s):  
Casting Process ◽  
Arc Spraying ◽  
Optimal Process ◽  
Interface Zone ◽  
Novel Technique ◽  
Compound Casting ◽  
Fracture Behaviors ◽  
Solid Liquid ◽  
Optimal Process Parameter ◽  
Compound Casting Process

A novel technique combining solid–liquid compound casting (SLCC) with arc spraying was designed to manufacture the arc-sprayed Al/AZ91D bimetals with a Zn interlayer. The Al/Mg bimetal was produced by pouring the AZ91D melt into the molds sprayed with Al/Zn double-deck coating, during which the arc-sprayed Zn coating acted as the interlayer. The effect of the Zn interlayer on microstructures, properties, and fracture behaviors of arc-sprayed Al/AZ91D bimetals by SLCC was investigated and discussed in this study. The optimal process parameter was acquired by analyzing the results from different combinations between the arc-spraying time of the Zn coating (10, 18, and 30 s) and the preheat time of the Al/Zn double-deck coating (6 and 12 h). The interfacial microstructures of the arc-sprayed Al/AZ91D bimetals with a Zn interlayer could be approximately divided into two categories: One was mainly composed of (α-Mg + Al5Mg11Zn4) and (α-Al + Mg32(Al, Zn)49) structures, and the other primarily consisted of (α-Mg + Al5Mg11Zn4), (MgZn2 (main) + β-Zn), and (β-Zn (main) + MgZn2) structures. In the interface zone, the (α-Mg + Al5Mg11Zn4) structure was the most abundant structure, and the MgZn2 intermetallic compound had the highest microhardness of 327 HV. When the arc-spraying time of the Zn coating was 30 s and the preheat time of the Al/Zn double-deck coating was 6 h, the shear strength of the arc-sprayed Al/AZ91D bimetal reached 31.73 MPa. Most rupture of the arc-sprayed Al/AZ91D bimetals with a Zn interlayer occurred at the (α-Mg + Al5Mg11Zn4) structure and presented some typical features of brittle fracture.

Experimental Investigation and Optimization of Direct Metal Laser Sintered CL50WS Material Using Desirability Function Approach

2018 ◽  
Vol 1150 ◽  
pp. 43-58
Author(s):  
Hiren M. Gajera ◽  
Komal G. Dave ◽  
Veera P. Darji
Keyword(s):  
Function Theory ◽  
Desirability Function ◽  
Scanning Speed ◽  
Direct Metal Laser Sintering ◽  
Optimal Process ◽  
Steel Material ◽  
Set Up ◽  
Optimized Conditions ◽  
Optimal Process Parameter ◽  
Desirability Function Approach

The aim of the this study to determine optimal process parameter for the hardness of direct metal laser sintering (DMLS) process as the hardness plays a significant role in to DMLS made components and die or mould. In this manner, research is focused around determining the effect of process parameters like laser power, scanning speed, layer thickness and hatch spacing on the hardness of CL50WS (maraging18Ni300 steel) material. A response surface methodology based numerical model was proposed to predict hardness, and the adequacy of the created model was checked through the analysis of variance technique. Additionally, optimized conditions were set up to maximize the hardness through the desirability function theory.

scholarly journals Direct Metal Laser Sintering of Precious Metals for Jewelry Applications: Process Parameter Selection and Microstructure Analysis

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 126530-126540
Author(s):  
Mohamed Selim Korium ◽  
Hamid Roozbahani ◽  
Marjan Alizadeh ◽  
Svetlana Perepelkina ◽  
Heikki Handroos
Keyword(s):  
Precious Metals ◽  
Laser Sintering ◽  
Parameter Selection ◽  
Process Parameter ◽  
Microstructure Analysis ◽  
Direct Metal Laser Sintering

Process Control of Injection Molding Based on Multiscale Visualization Methodology - A Case Study

2010 ◽  
Vol 154-155 ◽  
pp. 1839-1845
Author(s):  
Jin Cheng ◽  
Jian Rong Tan ◽  
Jia Hong Yu
Keyword(s):  
Injection Molding ◽  
Optimal Process ◽  
Part Quality ◽  
Statistical Mathematics ◽  
Injection Molded ◽  
Plastic Parts ◽  
Injection Molded Plastic ◽  
Optimal Process Parameter

Multiscale visualization approaches are proposed to efficiently assist designers not familiar with statistical mathematics in determining the optimal process parameter schemes for achieving desired part quality in injection molding, based on which the parameters’ relative importance to part quality and their influence on either single quality index or comprehensive part quality can be visually described by the map of the sum of squared deviations, response surface diagram and distribution map of comprehensive part quality. The proposed visualization approaches are universal for analyzing the effects of process parameters on the quality of any injection-molded plastic parts although the mobile phone cover is utilized as an example in the presentation of our work.

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