Critical parameters influencing the quality of metal castings: a systematic literature review

J. Suthar, J. Persis, Ruchita Gupta
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引用次数: 4

Abstract

PurposeCasting is one of the well-known manufacturing processes to make durable parts of goods and machinery. However, the quality of the casting parts depends on the proper choice of process variables related to properties of the materials used in making a mold and the product itself; hence, variables related to product/process designs are taken into consideration. Understanding casting techniques considering significant process variables is critical to achieving better quality castings and helps to improve the productivity of the casting processes. This study aims to understand the computational models developed for achieving better quality castings using various casting techniques.Design/methodology/approachA systematic literature review is conducted in the field of casting considering the period 2000–2020. The keyword co-occurrence network and word cloud from the bibliometric analysis and text mining of the articles reveal that optimization and simulation models are extensively developed for various casting techniques, including sand casting, investment casting, die casting and squeeze casting, to improve quality aspects of the casting's product. This study further investigates the optimization and simulation models and has identified various process variables involved in each casting technique that are significantly affecting the outcomes of the processes in terms of defects, mechanical properties, yield, dimensional accuracy and emissions.FindingsThis study has drawn out the need for developing smart casting environments with data-driven modeling that will enable dynamic fine-tuning of the casting processes and help in achieving desired outcomes in today's competitive markets. This study highlights the possible technology interventions across the metal casting processes, which can further enhance the quality of the metal casting products and productivity of the casting processes, which show the future scope of this field.Research limitations/implicationsThis paper investigates the body of literature on the contributions of various researchers in producing high-quality casting parts and performs bibliometric analysis on the articles. However, research articles from high-quality journals are considered for the literature analysis in identifying the critical parameters influencing quality of metal castings.Originality/valueThe systematic literature review reveals the analytical models developed using simulation and optimization techniques and the important quality characteristics of the casting products. Further, the study also explores critical influencing parameters involved in every casting process that significantly affects the quality characteristics of the metal castings.
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影响金属铸件质量的关键参数:系统文献综述
目的铸造是制造商品和机械耐用部件的著名制造工艺之一。然而,铸件的质量取决于与制造模具和产品本身所用材料的性能相关的工艺变量的正确选择;因此,与产品/工艺设计相关的变量被考虑在内。了解考虑重大工艺变量的铸造技术对于获得更高质量的铸件至关重要,并有助于提高铸造工艺的生产率。本研究旨在了解为使用各种铸造技术实现更高质量铸件而开发的计算模型。设计/方法/方法考虑2000-2020年期间,在铸造领域进行了系统的文献综述。文章的文献计量分析和文本挖掘中的关键词共生网络和词云表明,针对各种铸造技术,包括砂型铸造、熔模铸造、压铸和挤压铸造,广泛开发了优化和模拟模型,以提高铸件产品的质量。本研究进一步研究了优化和模拟模型,并确定了每种铸造技术中涉及的各种工艺变量,这些变量在缺陷、机械性能、产量、尺寸精度和排放方面对工艺结果产生了重大影响。发现这项研究提出了开发具有数据驱动建模的智能铸造环境的必要性,该环境将实现铸造过程的动态微调,并有助于在当今竞争激烈的市场中实现预期结果。这项研究强调了金属铸造工艺中可能的技术干预措施,可以进一步提高金属铸造产品的质量和铸造工艺的生产力,这表明了该领域的未来范围。研究局限性/含义本文调查了有关各研究人员在生产高质量铸件方面所做贡献的文献,并对文章进行了文献计量分析。然而,在确定影响金属铸件质量的关键参数时,文献分析会考虑来自高质量期刊的研究文章。独创性/价值系统的文献综述揭示了使用模拟和优化技术开发的分析模型以及铸造产品的重要质量特征。此外,该研究还探讨了每个铸造过程中涉及的关键影响参数,这些参数对金属铸件的质量特性有重大影响。
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来源期刊
CiteScore
5.60
自引率
12.00%
发文量
53
期刊介绍: In today''s competitive business and industrial environment, it is essential to have an academic journal offering the most current theoretical knowledge on quality and reliability to ensure that top management is fully conversant with new thinking, techniques and developments in the field. The International Journal of Quality & Reliability Management (IJQRM) deals with all aspects of business improvements and with all aspects of manufacturing and services, from the training of (senior) managers, to innovations in organising and processing to raise standards of product and service quality. It is this unique blend of theoretical knowledge and managerial relevance that makes IJQRM a valuable resource for managers striving for higher standards.Coverage includes: -Reliability, availability & maintenance -Gauging, calibration & measurement -Life cycle costing & sustainability -Reliability Management of Systems -Service Quality -Green Marketing -Product liability -Product testing techniques & systems -Quality function deployment -Reliability & quality education & training -Productivity improvement -Performance improvement -(Regulatory) standards for quality & Quality Awards -Statistical process control -System modelling -Teamwork -Quality data & datamining
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