Journal•ISSN: 1087-1357
Journal of Manufacturing Science and Engineering-transactions of The Asme
ASM International
About: Journal of Manufacturing Science and Engineering-transactions of The Asme is an academic journal published by ASM International. The journal publishes majorly in the area(s): Machining & Welding. It has an ISSN identifier of 1087-1357. Over the lifetime, 3630 publications have been published receiving 92907 citations.
Topics: Machining, Welding, Machine tool, Grinding, Finite element method
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TL;DR: Additive manufacturing (AM) is the process of joining materials to make objects from 3D model data, usually layer by layer, is distinctly a different form and has many advantages over traditional manufacturing processes.
Abstract: Additive manufacturing (AM), the process of joining materials to make objects from three-dimensional (3D) model data, usually layer by layer, is distinctly a different form and has many advantages over traditional manufacturing processes. Commonly known as “3D printing,” AM provides a cost-effective and time-efficient way to produce low-volume, customized products with complicated geometries and advanced material properties and functionality. As a result of the 2013 National Science Foundation (NSF) Workshop on Frontiers of Additive Manufacturing Research and Education, this paper summarizes AM's current state, future potential, gaps and needs, as well as recommendations for technology and research, university–industry collaboration and technology transfer, and education and training.
688 citations
TL;DR: In this paper, the authors compared the mechanistic and unified mechanics of cutting approaches to the prediction of forces in milling operations and showed that the milling force coefficients for all force components and cutter geometrical designs can be predicted from an orthogonal cutting data base and the generic oblique cutting analysis for use in the predictive mechanistic milling models.
Abstract: The mechanistic and unified mechanics of cutting approaches to the prediction of forces in milling operations are briefly described and compared. The mechanistic approach is shown to depend on milling force coefficients determined from milling tests for each cutter geometry. By contrast the unified mechanics of cutting approach relies on an experimentally determined orthogonal cutting data base (i.e., shear angle, friction coefficient and shear stress), incorporating the tool geometrical variables, and milling models based on a generic oblique cutting analysis. It is shown that the milling force coefficients for all force components and cutter geometrical designs can be predicted from an orthogonal cutting data base and the generic oblique cutting analysis for use in the predictive mechanistic milling models. This method eliminates the need for the experimental calibration of each milling cutter geometry for the mechanistic approach to force prediction and can be applied to more complex cutter designs. This method of milling force coefficient prediction has been experimentally verified when milling Ti 6 Al 4 V titanium alloy for a range of chatter, eccentricity and run-out free cutting conditions and cutter geometrical specifications.
640 citations
542 citations
TL;DR: In this article, a review of data mining applications in manufacturing engineering is presented, in particular production processes, operations, fault detection, maintenance, decision support, and product quality improvement.
Abstract: The paper reviews applications of data mining in manufacturing engineering, in particular production processes, operations, fault detection, maintenance, decision support, and product quality improvement. Customer relationship management, information integration aspects, and standardization are also briefly discussed. This review is focused on demonstrating the relevancy of data mining to manufacturing industry, rather than discussing the data mining domain in general. The volume of general data mining literature makes it difficult to gain a precise view of a target area such as manufacturing engineering, which has its own particular needs and requirements for mining applications. This review reveals progressive applications in addition to existing gaps and less considered areas such as manufacturing planning and shop floor control.
499 citations
TL;DR: A detailed review of the state of the art in product cost estimation covering various techniques and methodologies developed over the years is provided in this paper, where qualitative and quantitative techniques are categorized into intuitive and analogical techniques, and the quantitative ones into parametric and analytical techniques.
Abstract: This paper provides a detailed review of the state of the art in product cost estimation covering various techniques and methodologies developed over the years. The overall work is categorized into qualitative and quantitative techniques. The qualitative techniques are further subdivided into intuitive and analogical techniques, and the quantitative ones into parametric and analytical techniques. Each of the techniques is then described and discussed, in detail, with further subdivisions. The paper also signifies the importance of cost estimation in the early phases of the design cycle and, as such, briefly discusses the current trends and future directions in the area. Research work carried out in the field with reference to specific applications is also reviewed. The paper provides a comprehensive literature review in the field and should be useful to researchers and practitioners interested in this field.
442 citations