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Home » Authors » James Miller

James Miller

Jim Miller is principal research scientist at Scientific Forming Technologies Corporation. He may be reached at 614-451-8330 or jmiller@deform.com.

Articles

ARTICLES

1219FORGE-SciForming-slide1

Optimized Cooling Rates of Microalloyed Steels (Part I)

James Miller John Walters C.J. Van Tyne
December 11, 2019
No Comments

This article covers the vexing problem of properly cooling forged microalloyed steels. This first of two parts will discuss the technical and business benefits of forged microalloyed steels.


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fg0818-developing-fig1-900

Developing Optimized and Robust Forging Processes

New process development or the redesign of an underperforming job gives engineers a chance to investigate process influences and design alternatives. Examples of how process simulation has been used in design-optimization projects are detailed.
James Miller John Walters
August 13, 2018
No Comments

As forgers are pressured to remain competitive, they must act on opportunities to reduce costs, eliminate scrap and improve operational efficiency.


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Versatile process-simulation tools capable of modeling the entire manufacturing process chain are needed in the forging industry

Simulating the Manufacturing Process Chain

James Miller John Walters
April 7, 2016
No Comments

The motivation of forgers to understand how design and process changes influence various aspects increases the need for versatile process-simulation tools capable of modeling the entire process chain.


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Bar size and rotation angle are the design of experiment (DOE) variables

Design of Experiments and Optimization in Process Simulation (Part 2)

James Miller John Walters
October 7, 2015
No Comments

In this second of two articles about design of experiments (DOE) and optimization, we illustrate how they apply to forging design.


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Tornado Chart, shows the relative influence of each DOE variable using the Spearman correlation coefficient

Design of Experiments and Optimization in Process Simulation (Part 1)

James Miller John Walters
August 11, 2015
No Comments

In this first of two articles on how design of experiments (DOE) and optimization can be applied to forging, we will define the terms and illustrate how they fit forging design and process development.


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