The state of the art in electrochemical machining process modeling and applications

Advances in computer technology have made possible the integration of complex geometric and process modeling capabilities for use in engineering design and process planning. This is evident in the area of machining where it is now possible to integrate the physics of the machining process with changes that are taking place to the geometry of a work piece during the execution of complex operations. This capability is referred to as Virtual Machining (VM). Geometric modeling capabilities include the ability to generate complex swept volumes created during execution of tool path moves, to subtract these from a dynamically changing in-process work piece model, and to extract the instantaneous cutter/workpiece engagement as the tool moves in the feed direction. Process modeling includes the use of this engagement geometry to calculate cutting forces, deflection of structures, vibrations and to use these in process optimization. This paper reviews advances in the first part of this tandem, the geometric modeling methods and techniques that make Virtual Machining possible. It further highlights important directions that can be taken to further advances in this field.

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Process modeling in laser powder bed fusion towards defect detection and quality control via machine learning: The state-of-the-art and research challenges

Journal of Manufacturing Processes ◽

10.1016/j.jmapro.2021.11.037 ◽

2022 ◽

Vol 73 ◽

pp. 961-984

Author(s):

Peng Wang ◽

Yiran Yang ◽

Narges Shayesteh Moghaddam

Keyword(s):

Machine Learning ◽

Quality Control ◽

Defect Detection ◽

Process Modeling ◽

State Of The Art ◽

The State ◽

Powder Bed Fusion ◽

Laser Powder Bed Fusion ◽

Powder Bed ◽

Research Challenges

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Machining Process Monitoring and Control: The State–of–the–Art

Manufacturing ◽

10.1115/imece2002-32640 ◽

2002 ◽

Cited By ~ 10

Author(s):

Steven Y. Liang ◽

Rogelio L. Hecker ◽

Robert G. Landers

Keyword(s):

Process Monitoring ◽

State Of The Art ◽

The State ◽

Machining Process ◽

Feed Speed ◽

Monitoring And Control ◽

Process Automation ◽

Research Attention ◽

Process Monitoring And Control ◽

And Control

Automation at the process level for machining operations and machine tools has been a focus of research attention in both academia and industry alike for several decades. Research in this area has carried strong expectations in the context of increased productivity, improved part quality, reduced costs, and relaxed part design constraints. The basis for these expectations is two-fold. First, machining process automation, if exercised strategically and advantageously, can perform consistently for large batch production or flexibly for small batch jobs. Secondly, process automation can be set up to autonomously tune the machine parameters (feed, speed, depth of cut, etc.) in pursuit of desirable performance (tolerance, finish, cycle time, etc.), thereby bridging the gap between product design and process planning while reaching beyond the human operators’ capability. The success of manufacturing process automation hinges primarily on the effectiveness of process monitoring and control systems. This paper reviews the evolution and the state of the art of machining process monitoring and control technologies. Key issues to be presented include sensor techniques, control techniques, hardware availability, and implementation examples. Also to be reviewed are the benefits of the systems and the reasons for their delayed realization in many of today’s industrial application domains.

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Practical Picture Processing

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100051700 ◽

1974 ◽

Vol 32 ◽

pp. 338-339

Author(s):

T. A. Welton

Keyword(s):

Radiation Damage ◽

Coherence Length ◽

Spatial Information ◽

State Of The Art ◽

Coherent Radiation ◽

The State ◽

Energy Spread ◽

Electron Micrograph ◽

Picture Processing ◽

Molecular Skeleton

Various authors have emphasized the spatial information resident in an electron micrograph taken with adequately coherent radiation. In view of the completion of at least one such instrument, this opportunity is taken to summarize the state of the art of processing such micrographs. We use the usual symbols for the aberration coefficients, and supplement these with £ and 6 for the transverse coherence length and the fractional energy spread respectively. He also assume a weak, biologically interesting sample, with principal interest lying in the molecular skeleton remaining after obvious hydrogen loss and other radiation damage has occurred.

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