Special Issue "Optimization of Industrial Casting Processes"
A special issue of Metals (ISSN 2075-4701).
Deadline for manuscript submissions: 31 January 2019
Prof. Dr. Steve Cockcroft
Univ British Columbia, Dept Mat Engn, Vancouver, BC V5Z 1M9, Canada
Website | E-Mail
Interests: Physical phenomena in non-ferrous casting: hot tearing; Continuous Casting, EB Melting and Refining, Vaccuum Casting; Finite element-based heat flow and stress codes; Optimization of industrial casting processes; Mathematical modeling
Casting processes have seen continuous technological development for close to 5000 years, largely through a process of trial-and-error improvement. While modern casting is a sophisticated, technologically-advanced process capable of producing high quality parts economically, there remain significant opportunities for the optimization of the existing technologies.
In the context of casting technology, and for a given alloy chemistry, optimization may be thought of as obtaining a desired design objective(s) through manipulation of the process parameters and/or altering the geometry of the mould system. The design objective may include for example, elimination of shrinkage porosity above a certain size threshold, minimization of the overall solidification time, achieving a target secondary dendrite arm spacing at a given location, or minimization the metal contained within the feeding system (process scrap).
Given the sophisticated state of the commercial solidification software now available, and the availability of significant computational resources at reasonable cost, we are starting to see an increase in the application of numerical optimization methodologies to casting processes, both from the commercial software vendors and from academia. The ability to optimize industrial casting processes at scale represents a formidable challenge, requiring highly accurate simulation capabilities, fast simulation capabilities, effective optimization algorithms, and the identification of suitable process objective functions and design constraints.
This Special Issue aims to present some of the latest research devoted to exploring the application of numerical optimization methodologies to casting. Suitable subjects include, but are not limited to, optimization algorithms and their application to example casting problems, case studies in process parameter optimization, case studies in geometry optimization, advances in cooling or heating technologies and their optimization in casting processes and objective functions and design constraints in casting optimization problems.
Prof. Dr. Steve Cockcroft
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metals is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Casting Technology
- Casting Optimization
- Numerical Optimization
- Casting Simulation
- Process Optimization
- Geometry Optimization