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11th International Conference on Materials, processing and Characterization (ICMPC)

作者： Nagendra, J. Srinath, M. K. Sujeeth, S. Naresh, K. S. Prasad, M. S. Ganesha New Horizon Coll Engn Mech Engn Dept Bangalore 560103 Karnataka India

Additive Manufacturing (AM) is a latest technology of manufacturing of products by layer over layer deposition. Fused Deposition Modelling (FDM) is a widely used technique amongst the AM technology due its easier operating commands hassle-free pre-processing and post-processing stages. The current investigation is focused on the FDM uses of thermoplastic as the feed material, consisting of polymer composite consisting Nylon and Aramid, which is introduced as a filament. FDM process parameters are optimized to obtain the best quality surface finish by minimizing the surface roughness. Layer thickness, print temperature, raster angle, infill pattern style and infill part density are the influencing parameters considered in this investigation. The values of these factors were taken at three levels each and the interactions between these factors were investigated for the surface finish of FDM built part. Taguchi Design of experiment was used to find the optimum factor levels, significant factors, and interactions. The results from Taguchi method showed the layer thickness of 0.2 mm, print temperature of 280 ?C, raster angle of 90?, infill pattern style of tetrahedral and infill part density of 90% were optimal for improving the surface finish. The part printed for validation with optimized process parameters had resulted in the Ra value of 1.5470 mm, 2.145 mm and 1.212 mm, with an error of 1.65%, 2.10% and 1.80% at the top, side, and bottom faces, respectively. The combined objective error was achieved at 2.45%. The errors obtained is attributed to the hardware and/or the variations in the operating conditions. The study highlighted a simple but workable approach for predicting the surface roughness along various surface of FDM built parts. ? 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Materials, processing & Characterization.

关键词： Taguchi design of experiment Fused deposition modelling process parameter optimization Nylon aramid composite Surface roughness

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Multi-objective optimization of material extrusion additively manufactured parts from PETG feedstock material using grey wolf algorithm

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PROGRESS IN ADDITIVE MANUFACTURING 2024年第5期10卷 3807-3825页

作者： Trivedi, Achyut Patel, Mihir Ganpat Univ Ctr Excellence Addit Mfg Mehsana 384012 Gujarat India Ganpat Univ Maritime Studied Mehsana 384012 Gujarat India

The present study examines the multi-objective optimization of material extrusion additively manufactured (MEAM) parts utilizing the Grey Wolf Algorithm (GWO) with a focus on polyethylene terephthalate glycol (PETG) material. The process parameters are involved like nozzle temperature, layer thickness, and part orientation, while the response parameters have effects on tensile strength, flexural strength, and surface roughness. The primary aim of this optimization aspires to maximize tensile strength and flexural strength, and second, to minimize surface roughness. For achieving the optimization process, a central composite design (FCCCD) methodology linked with analysis of variance (ANOVA) is used in the present study. The experimental results establish the connection between process parameters and response characteristics. The present study findings underline the importance of certain settings i.e., higher nozzle temperature and layer thickness, and lower part orientation. Improving the mechanical properties such as tensile strength and flexural strength is the most important for ensuring the structural integrity and functional performance of MEAM parts. The optimization framework is guided by the GWO algorithm, strategically adjusts the process parameters to achieve these objectives. As an initial objective, experimental outcomes show a notable improvement in mechanical properties, particularly when operating at higher nozzle temperatures. This suggests that thermal energy plays an important role in enhancing the bonding strength of PETG-based MEAM parts. In addition to that, the second objective focuses on reducing issues related to surface roughness which is critical for achieving high-quality surface finishes. The optimization process shows that reducing part orientation, with adjustments in nozzle temperature and layer thickness, contributes significantly to minimizing surface roughness. This underscores the importance of present multi-objective optimizing pr

关键词： Multi-objective optimization Material extrusion additive manufacturing (MEAM) Grey wolf algorithm (GWO) PETG process parameter optimization

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Performance Control Research of Oil Distribution Plate Parts by Laser Direct Rapid Forming Based on the Ultrasonic Vibration

Performance Control Research of Oil Distribution Plate Parts...

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3rd International Conference on Applied Mechanics, Materials and Manufacturing (ICAMMM 2013)

作者： Wang, Jianbin Zeng, Qingsheng Univ South China Sch Mech Engn Hengyang 421001 Hunan Peoples R China

ISBN: (纸本)9783037858882

Aims at the performance of the oil distribution plate parts with laser direct rapid forming, and referring to the role of ultrasonic vibration in areas such as casting, welding, sintering etc., and utilizing the neural networks and the genetic algorithm to optimize the process parameters, the article does the basic research of laser direct rapid forming distribution plate parts based on the ultrasonic vibration. The results indicates that this study can greatly enhance the wear resistance, the corrosion resistance and the fatigue properties etc. of the laser sintering distribution plate parts, having a good guidance to the practical production.

关键词： Laser Direct Rapid Forming Ultrasonic Vibration process parameter optimization Parts Performance

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Application Research of On-line Quality Control Method to Metallurgical Products

Application Research of On-line Quality Control Method to Me...

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IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

作者： Xu, Gang Li, Min Xu, Jinwu Univ Sci & Technol Beijing Collaborat Innovat Ctr Steel Technol Beijing Peoples R China Univ Sci & Technol Beijing Sch Comp & Commun Engn Beijing Peoples R China

ISBN: (纸本)9781728138046

A novel methodology of on-line monitoring, diagnosis and optimization for process parameters is proposed to improve the quality of steel products and reduce the mass quality problems caused by the inability to timely adjust the production process parameters. First, the control limit is calculated by the SVDD method with normal samples. Then, the on-line diagnosing method is proposed through the contribution chart of the process parameters. Finally, the normal samples which are adjacent to abnormal samples are selected as target samples and used to construct the optimization rules. The effectiveness of the proposed method is verified using a dataset from a steel production process. The results indicate that the methodology has a good applicability in complex production processes with nonlinear and strong correlation characteristics.

关键词： product quality modeling process monitoring process parameter optimization support vector data description

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Ultrasonic-assisted micro-hole machining research and parameter optimization experiment 3

Ultrasonic-assisted micro-hole machining research and parame...

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3rd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)

作者： Zhu Changgui Zhang Niansong Wang Aimin He Hailong Nanjing Univ Informat Sci & Technol Dept Mech Engn Nanjing Jiangsu Peoples R China Beijing Inst Technol Dept Mech Engn Beijing Peoples R China Beijing Xinfeng Aerosp Equipment Co Ltd Dept Branch 3 Beijing Peoples R China

ISBN: (纸本)9781665441094

Ultrasonic vibration is superimposed during the drilling of micro-holes, and the processing technology of micro-holes has always been a problem in mechanical processing. Through experiments, the data of axial cutting force and surface roughness under ultrasonic-assisted micro-hole machining and ordinary drilling conditions are compared, and the optimal processing parameters are selected. Experiments show that ultrasonic assisted machining can effectively improve the problem of large axial cutting force during machining, reduce tool wear, increase tool life, reduce surface roughness, and obtain the best combination of process parameters.

关键词： machining ultrasonic vibration assisted machining axial cutting force process parameter optimization surface roughness

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Research on Embedded 3D Printing for Magnetic Soft Robots 16

Research on Embedded 3D Printing for Magnetic Soft Robots

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16th IEEE International Conference on Nano/Micro Engineered and Molecular Systems (IEEE-NEMS)

作者： Zhang, Wei Li, Jiachen Liu, Huicong Jin, Guoqing Soochow Univ Robot & Microsyst Res Ctr Suzhou Peoples R China

ISBN: (纸本)9780738124292

Traditional 3D printing technology is difficult to fabricate soft robots with complex structures and functions. However, embedded 3D printing technology has the ability to fabricate complex structures, including sensors, actuators, control system and power system integrated with soft robots. In this paper, based on the developed embedded direct inkjet 3D printing system, the magnetic slurry is printed inside Ecoflex materials to fabricate magnetically driven soft robots. Firstly, Comsol was used to study the rheological properties and viscosity properties of printing materials. Secondly, the optimal printing parameters are determined by the material ratio, mechanical stretching and 3D printing parameter experiments;Finally, the magnetic inchworm and gecko soft robots were printed by the determined optimal parameter, and bionic experiments were performed to verify the feasibility of integrated manufacturing of embedded 3D printing soft robots.

关键词： embedded 3D printing soft robot process parameter optimization magnetic driven

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Development of Reciprocating Inkjet System for Printed Electronic Devices 55

Development of Reciprocating Inkjet System for Printed Elect...

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55th CIRP Conference on Manufacturing Systems, CIRP CMS 2022

作者： Aziz, Shahid Uz Zaman, Uzair Khaleeq Mazhar, Abdur Rehman Ali, Junaid Jung, Dong Won Department of Mechanical Engineering Jeju National University 102 Jejudaehak-ro Jeju-Si Jeju-Do 63243 Korea Republic of College of Electrical and Mechanical Engineering National University of Sciences and Technology Islamabad44000 Pakistan Laboratoire de Conception Fabrication Commande Arts et Métiers ParisTech Campus de Metz Metz57070 France Department of Physics COMSATS Institute Islamabad45550 Pakistan

Reciprocating inkjet system (RIS) is an additive manufacturing technology in which drops are formed on a substrate by extruding liquid ink from ink chamber via the reciprocating movement of a micro needle. Depending on the diameter of the micro needle, RIS is capable of a small amount drop (approx. 1 pl) with a wide range of viscosity (1~300,000mPa.s) levels, unlike a piezoelectric inkjet printing which can perform only 1-15mPa.s. Also, RIS is capable of printing inks with various drop sizes (10µm to 1000µm). This wide range of printable ink viscosity is attributed to both the mechanical extrusion mechanism adopted in the method, and the size controllability associated with the micro-needle diameter. Furthermore, the printing frequency of RIS is typically limited to 1-20 Hz which is considerably lower than that of conventional inkjet printing, (1-10kHz) because the micro needle must move in a reciprocating manner through mechanical movement. Although the slow frequency is at times problematic for some applications, the controllability of the high-resolution drop sizes is beneficial in applications such as the repair of open circuits, solder paste dropping for interconnections and all kinds of substrates. This paper, therefore, focuses on the development of RIS wherein printing process parameters (needle diameter, needle moving velocity, distance from substrate, and reciprocating frequency of inkjet head) are optimized. Moreover, the RIS is utilized to print fine conductive patterns on a flexible polyethylene terephthalate (PET) substrate for the fabrication of printed sensor which are analyzed by optical characterization. The results are then documented and discussed along with the conclusions drawn. © 2022 The Authors. Published by Elsevier B.V.

关键词： Additive manufacturing High resolution printing Operating frequency Printed electronic devices process parameter optimization Reciprocating Inkjet System

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Thermodynamic simulation of complex Pb-Bi concentrate oxidative bath smelting process

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Transactions of Nonferrous Metals Society of China 2021年第4期31卷 1165-1174页

作者： Lin CHEN Peng CHEN Du-chao ZHANG Wei-feng LIU Tian-zu YANG School of Metallurgy and Environment Central South UniversityChangsha 410083China National Engineering Laboratory for High Efficiency Recovery of Refractory Nonferrous Metals Central South UniversityChangsha 410083China

The element partitioning in a Pb-Bi concentrate oxygen-rich bath smelting process was studied using thermodynamic equilibrium simulation method. Effects of oxygen to feed ratio(OFR) and sulfur dioxide partial pressure(pSO2) on the partitionings of Bi, Pb, As, Sb, Cu and Ag were analyzed and compared with industrial data. The results suggested that the optimal OFR was between 6.3 and 6.8 kmol/t to maximize Bi, Pb, Cu and Ag partitioning in the metal phase. Further increase of OFR led to the drop of metal partitioning and increase of slag liquidus temperature. High pSO2 led to high deportment of Bi and Pb in the gas phase mainly in the form of sulfides, suggesting that a low pSO2 was conducive for reducing the dust ratio.

关键词： complex Pb-Bi concentrate oxygen-rich bath smelting multiphase equilibrium simulation element partitioning process parameter optimization

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Effect of Zr content on crack formation and mechanical properties of IN738LC processed by selective laser melting

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Transactions of Nonferrous Metals Society of China 2021年第5期31卷 1350-1362页

作者： Yong HU Xiao-kang YANG Wen-jiang KANG Yu-tian DING Jia-yu XU Hui-ying ZHANG State Key Laboratory of Advanced Processing and Recycling of Non-ferrous Metals Lanzhou University of TechnologyLanzhou 730050China School of Materials Science and Engineering Lanzhou University of TechnologyLanzhou 730050China

Two batches of commercial IN738LC alloy powders with different Zr contents were printed under the same *** influences of Zr content(0.024 wt.% and 0.12 wt.%,respectively) in powders on crack density,distribution,formation mechanism and mechanical properties of selective laser melting(SLM)-treated parts were systematically *** was found that the crack density(area ratio) increases from 0.15% to 0.87% in the XOY plane and from 0.21% to 1.81% in the XOZ plane along with the Zr content increase from 0.024 wt.% to 0.12 wt.% in the original *** cracks are formed along the epitaxially grown <001>-oriented columnar grain boundaries in molten pool *** ultimate tensile strength of Sample 1(0.024 wt.% Zr) is 1113 MPa,and there are dimples in tensile *** an increase in the Zr content to 0.12 wt.%(Sample 2),the ultimate tensile strength of Sample 2 decreases to 610 MPa,and there are numerous original cracks and exposed columnar grain boundaries in tensile *** optimization of printing parameters of Sample 2 considerably increases the ultimate tensile strength by 55.2% to 947 MPa,and the plasticity is greatly improved.

关键词： selective laser melting IN738LC alloy Zr content solidification crack process parameter optimization mechanical properties

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optimization of Electrodischarge Machining parameters Using Non-traditional optimization Techniques 2nd

Optimization of Electrodischarge Machining Parameters Using ...

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2nd International Conference on Recent Advances in Manufacturing, RAM 2021

作者： Agarwal, Kaushik Joshi, Shishir Asudani, Divyansh Savani, Dixit Patel, Deep Prajapati, Ashish R. Desai, Keyur P. Dave, Harshit K. Department of Mechanical Engineering SVNIT Gujarat Surat India

ISBN: (纸本)9789811699511

Electrodischarge machining (EDM) is a popular non-conventional material removal process because it can machine conducting materials. EDM processing conditions are vital for the response parameters such as overcut and surface roughness. Various EDM parameters that are important are voltage, current, spark frequency, spark gap, pulse duration and machining time. However, the selection of EDM processing parameters for better machining of a workpiece is challenging as the variation of some process parameters can decrease the overcut, but at the same time, it will lead to higher surface roughness. Therefore, the selection of an optimum combination of EDM process parameters is essential. For achieving the best level of process parameters, an effective optimization technique is very vital. An optimization algorithm is an iterative technique that compares different solutions until an optimum, or satisfactory solution is found. Nowadays, these optimization techniques are solely dependent on computerized programs. Particle swarm optimization (PSO), teaching learning-based algorithm (TLBO), Rao algorithm (RA), Jaya algorithm (JA) and firefly are some of the non-traditional optimization techniques. In the present work, an attempt is made to study the non-traditional optimization techniques and use the same to attain single and multiple objective optimizations of surface roughness and overcut values. In addition to that, the performance of different optimization techniques in terms of prediction accuracy and convergence characteristics is compared. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Electrodischarge machining Firefly algorithm Jaya algorithm Material removal rate Particle swarm optimization process parameter optimization Rao algorithm Teaching learning-based optimization

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