Experimental investigations and finite element analysis of milling of Inconel 718 alloy

Q3 Mathematics
Akhil C. Kuriakose, Raman Balakrishnan, H. Vardhan, K. S. Vijay Sekar
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引用次数: 0

Abstract

Super-alloys encompass great challenges in machinability. One such alloy of much interest in applications is Inconel 718. Its increased hardness, low thermal diffusivity and high temperature strength make it desirable for applications, at the same time rendering its machining a demanding task. Extensive studies have been performed on machinability of Inconel 718, from the turning process stand-point. However, there is found to be a comparative dearth of work on the milling process. Taking into account the versatility of end-milling within the family of milling processes and the research gap, we found that a parametric optimization (aimed at minimum machining forces) of end-milling would be a meaningful effort. An experiment was conducted to study conditions that would help us achieve the same. In our further quest for optimization, chip morphology studies using SEM occupied a special place. Bearing in mind immense prediction capabilities of computer simulations based on FEA available today, we attempted process replication of the experimental work. The significant cutting forces were chosen as the benchmark factor for this purpose and proper attention was given to validation of the FEM created. Such FEM holds promise of being resourceful to drive up efficiency, with consequent spill-over to the production line.
Inconel 718合金铣削加工试验研究及有限元分析
高温合金在可加工性方面面临巨大挑战。其中一种很有应用价值的合金是英科乃尔718。其增加的硬度,低热扩散率和高温强度使其适合应用,同时使其加工成为一项苛刻的任务。从车削工艺的角度,对Inconel 718的可加工性进行了广泛的研究。然而,人们发现在铣削过程中相对缺乏工作。考虑到铣削过程家族中的多功能性和研究差距,我们发现参数优化(旨在最小加工力)的铣削将是一个有意义的努力。进行了一项实验,以研究有助于我们实现同样目标的条件。在我们进一步寻求优化的过程中,使用SEM进行芯片形态研究占据了特殊的位置。考虑到目前基于有限元分析的计算机模拟的巨大预测能力,我们尝试了实验工作的过程复制。为此,选取了显著切削力作为基准因素,并对所建立的有限元模型进行了验证。这样的FEM有希望是机智的,以提高效率,随之而来的溢出到生产线。
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来源期刊
CiteScore
2.00
自引率
0.00%
发文量
19
审稿时长
16 weeks
期刊介绍: The International Journal for Simulation and Multidisciplinary Design Optimization is a peer-reviewed journal covering all aspects related to the simulation and multidisciplinary design optimization. It is devoted to publish original work related to advanced design methodologies, theoretical approaches, contemporary computers and their applications to different fields such as engineering software/hardware developments, science, computing techniques, aerospace, automobile, aeronautic, business, management, manufacturing,... etc. Front-edge research topics related to topology optimization, composite material design, numerical simulation of manufacturing process, advanced optimization algorithms, industrial applications of optimization methods are highly suggested. The scope includes, but is not limited to original research contributions, reviews in the following topics: Parameter identification & Surface Response (all aspects of characterization and modeling of materials and structural behaviors, Artificial Neural Network, Parametric Programming, approximation methods,…etc.) Optimization Strategies (optimization methods that involve heuristic or Mathematics approaches, Control Theory, Linear & Nonlinear Programming, Stochastic Programming, Discrete & Dynamic Programming, Operational Research, Algorithms in Optimization based on nature behaviors,….etc.) Structural Optimization (sizing, shape and topology optimizations with or without external constraints for materials and structures) Dynamic and Vibration (cover modelling and simulation for dynamic and vibration analysis, shape and topology optimizations with or without external constraints for materials and structures) Industrial Applications (Applications Related to Optimization, Modelling for Engineering applications are very welcome. Authors should underline the technological, numerical or integration of the mentioned scopes.).
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