检索结果-内蒙古大学图书馆

Multi response optimization of injection moulding process parameters of polystyrene and polypropylene to minimize surface roughness and shrinkage's using integrated approach of S/N ratio and composite desirability function

引用

COGENT ENGINEERING 2020年第1期7卷 Article: 1781424页

作者： Jan, Qazi Muhammad Usman Habib, Tufail Noor, Sahar Abas, Muhammad Azim, Shakir Yaseen, Qazi Muhammad Natl Univ Sci & Technol NUST Dept Ind Engn Islamabad Pakistan Univ Engn & Technol Dept Ind Engn Peshawar Pakistan Univ Engn & Technol Dept Mech Engn Peshawar Pakistan

The present study is intended to optimize and develop a prediction model for horizontal injection moulding process parameters. The processing materials are polystyrene (PS) and polypropylene (PP), while the final products are cups. The mould material used is aluminum alloy 6061-T651. The process parameters investigated are injection temperature, injection pressure, injection speed and mould temperature while the response variables are surface roughness, shrinkage inflow and cross-flow directions. Taguchi orthogonal array L9 is designed for experimental runs, while the levels are defined based on screening experiments. For optimization of process parameters, an integrated approach of signal to noise (S/N) ratio and composite desirability function is applied. The results show that injection temperature has a significant effect on surface roughness, shrinkage inflow and cross-flow directions for both polystyrene and polypropylene. Injection pressure has a significant effect on surface roughness and shrinkage in parallel flow direction for PS, while for polypropylene PP it has a significant effect on surface roughness and shrinkage in cross-flow direction. The optimal process parameters identified for PS are injection temperature at 533.15 K, injection pressure at 60 MPa, injection speed at 80 mm/s and mould temperature at 313.15 K. While for PP the optimal process parameters are injection temperature at 513.15 K, injection pressure at 60 MPa, injection speed at 70 MPa, mould temperature at 313.15 K. The novelty of this paper lies by optimizing injection moulding process parameters to minimize surface roughness and shrinkages using proposed integrated approach for the said mould.

关键词： Injection moulding polystyrene polypropylene process parameters optimization signal to noise ratio composite desirability function

来源：评论

学校读者我要写书评

暂无评论

On the Effects of process optimization for Ti-6Al-2Sn-4Zr-2Mo Lattice Structures Produced by Electron Beam Powder Bed Fusion 32nd

On the Effects of Process Optimization for Ti-6Al-2Sn-4Zr-2M...

引用

32nd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Galati, Manuela Giordano, Massimo Rizza, Giovanni Saboori, Abdollah Antonioni, Paolo Iuliano, Luca Politecn Torino Dept Management & Prod Engn Turin Italy

ISBN: (纸本)9783031382406;9783031382413

A lattice structure is a topologically ordered repetition of an elementary cell within a predefined volume. These specific structures ensure high mechanical performances with reduced material use. Despite, their complexity, the production of such designs is made possible thanks to additive manufacturing (AM) processes. In particular, the electron beam powder bed fusion (PBF-EB) process allows the easy production of such complex structures with high-performance metallic materials such as Ti-6Al-2Sn-4Zr-2Mo (Ti6242). This work presents the optimization of EB-PBF process for producing Ti6242 lattice structure and analyzes the effect of process tuning on the lattice structure morphometry. Non-destructive X-ray computed tomography analyses are used to disclose the causal relationship between the beam current, focus offset, and scan speed and the produced lattice structure. The results showed that the process parameters greatly influenced the lattice morphology. The measured relative density and the strut size values were systematically larger than the nominal design.

关键词： process parameters optimization Lattice structures Titanium alloy Ti6242 PBF-EB Tomography Additive manufacturing

来源：评论

学校读者我要写书评

暂无评论

A novel thermo-geometrical model for accurate keyhole porosity prediction in Laser Powder-Bed Fusion

引用

PROGRESS IN ADDITIVE MANUFACTURING 2024年第2期9卷 247-261页

作者： Vaglio, Emanuele Totis, Giovanni Lanzutti, Alex Fedrizzi, Lorenzo Sortino, Marco Univ Udine Polytech Dept Engn & Architecture Via Sci 206 I-33100 Udine Italy

When performing Laser Powder-Bed Fusion, undesired physical phenomena, such as balling, preballing and keyhole, must be avoided in order to achieve high-quality products. To date, keyhole-free process parameters can be identified either using demanding empirical methods or complex numerical simulations, while only a few analytical models can be found in literature for this purpose. In this work, state-of-the-art analytical models for predicting keyhole porosity were summarized and proved to be rather inaccurate because they are only based on thermodynamic principles, whereas they neglect the geometry and both the kinetics and kinematics of the keyhole cavity, which do also influence cavity collapse and porosity formation. Here an innovative physics-based semi-analytical model for predicting the formation of keyhole-related porosities was conceived, in which both thermodynamic and geometrical factors are taken into account. The proposed model was validated by performing single tracks experiments on Ti6Al4V according to a full factorial DoE on laser power and scanning speed. Produced samples were cross-sectioned and analyzed to evaluate keyhole porosity formation. The comparison between experimental data and model predictions confirmed the higher accuracy of the new model with respect to state of the art models. Besides improving the understanding of the keyhole phenomenon, the proposed model may provide a novel, effective and simple tool for fast process parameter optimization in industry.

关键词： Laser Powder-Bed Fusion Keyhole Porosity Predictive model process parameters optimization

来源：评论

学校读者我要写书评

暂无评论

Optimizing process parameters in micro injection moulding considering the part weight and probability of flash formation

引用

JOURNAL OF MANUFACTURING processES 2022年 79卷 250-258页

作者： Trotta, Gianluca Cacace, Stefania Semeraro, Quirico Natl Res Council Italy Inst Intelligent Ind Syst & Technol Adv Mfg STIIMA CNR Via P Lembo 38-F I-70124 Bari Italy Politecn Milan Dipartimento Meccan Via Masa 1 I-20156 Milan Italy

This paper proposes an experimental procedure for selecting the optimal processing parameters in micro injection moulding considering two quality features: flash formation and weight of the component. According to a Central Composite Design (CCD), five process parameters (melting temperature, holding pressure, moulding temperature, injection speed, and holding time) were varied according to a Central Composite Design (CCD). Empirical regression equations were estimated based on the experimental results to determine the significant factors and the optimal processing conditions. Melting temperature, holding pressure, moulding temperature, and injection speed influence the probability of flash formation, as all these factors also increase the probability of flash formation increases. As melting temperature and holding pressure increase, the part weight increases. The selection of the optimal process parameters is performed using a utility function that maximizes the part weight penalized by the probability of flash formation. The utility function suggests selecting low values of moulding temperature, injection speed and holding time, and high melting temperature and holding pressure.

关键词： Microinjection moulding CCD POM process parameters optimization

来源：评论

学校读者我要写书评

暂无评论

Reliability-based multi-objective optimization incorporating process-property-performance relationship of double-pulse MIG welding using hybrid optimization strategy

引用

STRUCTURAL AND MULTIDISCIPLINARY optimization 2022年第5期65卷 1-19页

作者： Wang, Jianing Chen, Xin Yang, Lifei Jilin Univ State Key Lab Automobile Simulat & Control Changchun Peoples R China

As an effective lightweight technique, reliability-based multi-objective optimization (RBMO) for welding process parameters of aluminum alloy sheets demonstrates the unprecedented potential and stability in the automobile manufacturing. In order to ensure load-bearing capacity and assembly feasibility of welded joints in the body structure, the process-property-performance (3P) relationship should be fully considered in optimizing double-pulse MIG (DP-MIG) welding process parameters. This study proposes an RBMO design of welding process parameters that employed a hybrid optimization strategy (HOS), which includes screening significant parameters, building process-property meta-models, and searching optimal solution under performance requirements. Combining entropy weight and technique for order preference by similarity to an ideal solution for Plackett-Burman design is used to screen significant parameters. Then, the response surface methodology based on central composite design is used to construct the regression models between significant factors and responses. Also, the reliability of each response is analysed through the Monte Carlo simulation and Design for Six Sigma design. The non-dominated sorting genetic algorithm and multi-objective decision criteria based on performance requirements are employed to find the optimal solution of RBMO. The effectiveness and applicability of the proposed HOS method are demonstrated by optimization of DP-MIG welding process parameters, which could yield improvements of load-bearing, geometry performance of welded joints and their robustness. The combination of 3P relationships and optimization design reveals the internal connection between design and manufacturing, and provides a guideline for DP-MIG welding parameters design. RBMO can be generally applied to types of jointing technology in automotive manufacturing and the proposed HOS method can be used in the optimization design of multiple influencing factors and multiple r

关键词： Reliability-based multi-objective optimization Double-pulse MIG welding process-property-performance relationship process parameters optimization Hybrid optimization strategy

来源：评论

学校读者我要写书评

暂无评论

Effect of process parameters on mechanical properties of additive manufactured SMP structures based on FDM

引用

MATERIALS TESTING 2022年第3期64卷 378-390页

作者： Liu, Bingfei Yang, Li Zhou, Rui Hong, Bin Civil Aviat Univ China Tianjin Peoples R China Tianjin Univ Sci & Technol Tianjin Peoples R China

As a new concept and multidisciplinary research area that combines advanced manufacturing, materials science and mechanics, 4D printing has attracted academic interest in the recent years. Shape Memory Polymer (SMP) is widely used in 4D printing due to its high stiffness and fast response. In order to make better analysis and research on additive manufacturing of SMP structures based on FDM, the DMA, DSC and TMA tests were conducted first to determine the basic thermodynamic properties of SMP. And then nine parameters, divided into three groups including printing parameters, temperature parameters and structural parameters were examined to character and assess the effect on the mechanical properties of SMP samples, respectively. The results show that the best parameters combination of temperature and printing parameters for the SMP printing is that platform temperature T ( P ) = 65 degrees C, nozzle temperature T ( N ) = 210 degrees C, feed rate Fr = 50 mm/s, layer thickness Lt = 0.18 mm. Compared with temperature and printing parameters, the structural parameters directly affect the tensile strength of the specimen with improve of 17.298 MPa while these two are 3.639 and 5.528 MPa. The tensile strength of the specimen can be effectively improved through adjusting the structural parameters.

关键词： 4D printing fused deposition modelling process parameters optimization shape memory polymer tensile strength

来源：评论

学校读者我要写书评

暂无评论

Surface Roughness of Interior Fine Flow Channels in Selective Laser Melted Ti-6Al-4V Alloy Components

引用

MICROMACHINES 2024年第3期15卷 348-348页

作者： Islam, Shamoon Al Hao, Liang Javaid, Zunaira Xiong, Wei Li, Yan Jamil, Yasir Chen, Qiaoyu Han, Guangchao China Univ Geosci Gemmol Inst Wuhan 430074 Peoples R China China Univ Geosci Adv Mfg Res Inst Wuhan 430074 Peoples R China Hubei Jewelry Engn Technol Res Ctr Wuhan 430074 Peoples R China China Univ Geosci Sch Mech Engn & Elect Informat Wuhan 430074 Peoples R China Univ Agr Faisalabad Dept Phys Laser Spect Lab Faisalabad 38040 Pakistan

A challenge remains in achieving adequate surface roughness of SLM fabricated interior channels, which is crucial for fuel delivery in the space industry. This study investigated the surface roughness of interior fine flow channels (1 mm diameter) embedded in SLM fabricated TC4 alloy space components. A machine learning approach identified layer thickness as a significant factor affecting interior channel surface roughness, with an importance score of 1.184, followed by scan speed and laser power with scores of 0.758 and 0.512, respectively. The roughness resulted from thin layer thickness of 20 mu m, predominantly formed through powder adherence, while from thicker layer of 50 mu m, the roughness was mainly due to the stair step effect. Slow scan speeds increased melt pools solidification time at roof overhangs, causing molten metal to sag under gravity. Higher laser power increased melt pools temperature and led to dross formation at roof overhangs. Smaller hatch spaces increased roughness due to overlapping of melt tracks, while larger hatch spaces reduced surface roughness but led to decreased part density. The surface roughness was recorded at 34 mu m for roof areas and 26.15 mu m for floor areas. These findings contribute to potential adoption of TC4 alloy components in the space industry.

关键词： interior channel additive manufacturing overhang space industry process parameters optimization laser powder bed fusion build orientation heat penetration confined geometry trapped powder

来源：评论

学校读者我要写书评

暂无评论

Preparation of a fly ash-based porous geopolymer material for copper ion removal

引用

MATERIALS SCIENCE AND TECHNOLOGY 2024年

作者： Li, Jianmin Li, Ye Guo, Liwen Zhang, Jiayong North China Univ Sci & Technol Coll Min Engn Tangshan Hebei Peoples R China North China Univ Sci & Technol Coll Emergency Management & Safety Engn Tangshan 063210 Hebei Peoples R China Key Lab Min Dev & Safety Technol Hebei Prov Tangshan Peoples R China

The pursuit of novel and efficient adsorbents is vital in potentially toxic elements wastewater treatment. A block-like geopolymer, utilizing 92 wt.% of fly ash, was synthesized to serve as a cost-effective adsorbent for Cu(II). Fly ash-based porous geopolymer (FAPGM) with 80.11% of porosity, 38.080 m2 g-1 of specific surface area and 0.886 MPa of compression strength was obtained through process parameters optimization. FAPGM exhibited excellent adsorption performance, with a maximum capacity of 62.70 mg g-1 for Cu(II). The adsorption process can be described by Langmuir and quasi-second-order kinetic models. The mechanism of Cu(II) adsorption onto FAPGM involves chemisorption, electrostatic interactions, ion exchange chemical precipitation, spontaneous and endothermic. The research indicates blocky porous geopolymer can serve as a promising candidate material for treating copper-containing wastewater.

关键词： adsorption blocky porous geopolymer copper ions fly ash process parameters optimization

来源：评论

学校读者我要写书评

暂无评论

Membrane-based carbon capture for waste-to-energy: process performance, impact, and time-efficient optimization

引用

ENERGY 2024年 310卷

作者： Pluskal, Jaroslav Zach, Boleslav Kudela, Jakub Somplak, Radovan Syc, Michal Brno Univ Technol VUT Brno Inst Proc Engn Fac Mech Engn Tech 2896-2 Brno 61669 Czech Republic CAS Dept Environm Engn Inst Chem Proc Fundamentals Prague Czech Republic Brno Univ Technol VUT Brno Fac Mech Engn Inst Automat & Comp Sci Tech 2896-2 Brno 61669 Czech Republic

The energy crisis and rising waste production results in the need for more waste-to-energy solutions. However, capturing fossil-based carbon from waste incineration is crucial. The power consumption and overall impact of the carbon capture process are essential for the identification of the most suitable solution. The aim of this paper is to promote a time-efficient optimization, optimize a membrane-based post-combustion carbon capture process, and quantify its impacts on a waste-to-energy plant for various system configurations with different levels of CO2 recovery and purity. The proposed robust evaluation of the system with non-linearities resulted in the utilization of genetic algorithms with subsequent verification. Quantifying power consumption allows the comparison of different carbon capture technologies. The results confirm the importance of process optimization, show the influence of individual parameters, and quantify the disproportionate drop in power consumption with decreasing target CO2 recovery. The power consumption can be as low as 1.14 GJ/tonne of CO2 for CO2 purity of 95 % and recovery of 50 % and 1.66 GJ/tonne of CO2 for CO2 purity of 95 % and recovery of 90 %. The results also suggest that carbon neutrality can be achieved without compromising the R1 efficiency classification of energy recovery.

关键词： Multi-stage membrane separation Carbon dioxide process parameters optimization Genetic algorithms Pareto front Power consumption minimization

来源：评论

学校读者我要写书评

暂无评论

optimization of Laser Based-Powder Bed Fusion parameters for Controlled Porosity in Titanium Alloy Components

引用

MATERIALS 2024年第22期17卷 5572页

作者： Vaglio, Emanuele Scalzo, Federico Sortino, Marco Totis, Giovanni Cremonese, Roberto Boccia, Massimiliano Danielis, Maila Univ Udine Polytech Dept Engn & Architecture Via Sci 206 I-33100 Udine Italy CTS H2 S r l Viale Lino Zanussi 1 I-33070 Brugnera Italy

Laser based-powder bed fusion (LB-PBF) enables fast, efficient, and cost-effective production of high-performing products. While advanced functionalities are often derived from geometric complexity, the capability to tailor material properties also offers significant opportunities for technical innovation across many fields. This study explores the optimization of the LB-PBF process parameters for producing Ti6Al4V titanium alloy parts with controlled porosity. To this end, cuboid and lamellar samples were fabricated by systematically varying laser power, hatch distance, and layer thickness according to a full factorial Design of Experiments, and the resulting specimens were thoroughly characterized by analyzing envelope porosity, surface roughness and waviness, surface morphology, and surface area. A selection of specimens was further examined using small-angle X-ray scattering (SAXS) and wide-angle X-ray scattering (WAXS) to investigate the atomic structure and nanometric porosity of the material. The results demonstrated the possibility to finely control the porosity and surface characteristics of Ti6Al4V within specific LB-PBF process ranges. The pores were found to be mostly closed even for thin walls, while the surface roughness was recognized as the primary factor impacting the surface area. The lamellar samples obtained by exposing single scan tracks showed nearly an order-of-magnitude increase in both surface area and pore volume, thereby laying the groundwork for the production of parts with optimized porosity.

关键词： laser based-powder bed fusion process parameters optimization titanium alloy controlled porosity surface area

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：