Calls for papers

 

International Journal of Experimental Design and Process Optimisation

 

Special Issue on: "Experimental Design and Process Optimisation in Manufacturing Processes"

Guest Editors:
Prof. Douglas Montgomery, Arizona State University, USA
Prof. John Kechagias, University of Thessaly, Greece

Experimental design methodology aims to provide researchers with the statistical tools to understand and analyse manufacturing engineering and corresponding cross-disciplinary topics, predominantly related to quality or process optimisation issues.

Within this context, this special issue is directed towards the optimisation of quality issues in manufacturing processes by utilising experimental design methodologies, semi-empirical and arithmetic modelling approaches and optimisation algorithms.

The term manufacturing processes (MFG) includes all conventional and non-conventional processes, such as primary forming, deforming, cutting, joining, and additive manufacturing, with particular emphasis on advanced manufacturing processes such as material extrusion 3D printing, laser cutting, abrasive water jet machining, plasma cutting to name only a few.

Issues related to material, size, shape, surface texture issues, mechanical response, material and energy consumption, and cost and time optimisation of MFG processes are also included.

The main objective of this special issue is to present optimisation case studies in the sub-fields of material processing, materials and manufacturing, or manufacturing utilising experimental design approaches such as full factorial and fractional factorial designs applied to the following issues:

• Experimental design selection (Box-Behnken, Taguchi, Doehlert experimental designs, etc.)
• Results analysis (MEP, box plots, etc.)
• Modelling approach selection (additive, RSM, etc.)
• Selection of optimisation algorithms (second order, genetic algorithms, etc.)
• Evaluation and generalisation

Research articles concerning optimisation of other issues related to MFG, innovative applications, quality and environmental issues of MFG or setting MFG in the broader social-economic context are particularly encouraged.

Subject Coverage
Suitable topics include, but are not limited, to the following:

• Manufacturing
• Processes
• Materials
• Processing
• Experimental design
• Box-Behnken
• Central composite design
• Taguchi design
• Doehlert design
• Data analysis
• Semi-empirical modelling
• Response surface methodology
• Artificial neural networks
• Optimisation
• Genetic algorithms
• Machine learning
• Forming
• Deforming
• Cutting
• Joining
• Wielding
• Water Jet MFG (AWM, WJM, etc.)
• Plasma arc cutting
• Laser additive MFG (SLS, SLM, etc.)
• Material extrusion MFG (FDM, FFF, DIR, etc.)
• Stereolithography additive MFG (SLA, etc.)
• Laminated object MFG (LOM, etc.)
• Dimensional accuracy-shape
• Surface texture-properties
• Mechanical response
• Material and energy consumption
• Cost and time

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).

All papers are refereed through a peer review process.

All papers must be submitted online. To submit a paper, please read our Submitting articles page.

Important Dates

Manuscripts due by: 30 September, 2023

Notification to authors: 31 December, 2023

Final versions due by: 29 February, 2024