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Call for Papers―Additive and subtractive manufacturing of super alloys: A new approach of Industry 4.0
Journal Name: Frontiers of Mechanical Engineering
Title: Additive and subtractive manufacturing of super alloys: A new approach of Industry 4.0

Dear Colleagues,

We are pleased to inform that the special issue on “Additive and subtractive manufacturing: A smart approach towards Industry 4.0” for possible consideration in Frontiers of Mechanical Engineering. The original research papers, short communications and state-of-the-art reviews which are within the scope of this special issue will be invited.

Industry 4.0 is a new stage in the industrial revolution, mainly focusing on interconnectivity, automation, machine learning and real-time data. Industry  4.0 (sometimes called smart manufacturing) combines physical production and operations with smart digital technology, machine learning, and Big Data, thereby creating a more comprehensive and better connected company that focuses on manufacturing and supply chain management ecosystem. With this aim, this special issue deals with the additive and subtractive manufacturing of metals, alloys, composites, polymers etc. for biomedical, structural, aerospace and different applications. Sustainable manufacturing, Internet of Things (IOT), metal cutting, precision engineering, analytical modelling and optimization methods in different applications will be covered in this special issue. The complete keywords, themes and their details are given below:

Industry 4.0
Advanced software technology
Automation in manufacturing
Digital supply chain models from Industry 4.0
Internet-of-Things (IoTs)
Machine learning and Artificial Intelligence (AI)
Robotics in machining
Smart manufacturing

Additive manufacturing
Ceramics printing
Composite material printing
Metal printing
Multi-materials printing
Polymer printing

Control in manufacturing
Manufacturing process control
Quality control in manufacturing
Sensing and control

Metal cutting
Hybrid machining processes
Machining processes like turning, milling grinding, drilling etc.
Mechanical machining processes
Non-conventional machining processes
Thermal machining processes
Ultrasonic assisted machining processes

Precision manufacturing
Advanced measurement science
Biomanufacturing
High accuracy engineering, metrology
High precision machines, instruments, and components
Macro-metrology
Micro/nano machining processes


Sustainable manufacturing

Energy consumption modelling etc.
Environmentally conscious manufacturing processes
Life cycle assessment
Materials/energy/resource utilization
Product sustainability assessment/evaluation
Remanufacturing, reuse and recycling
Value creation by sustainable manufacturing


Modelling and optimization

Analytical modelling
CAD/CAM/CAE integrated systems
Manufacturing process modeling
Manufacturing system design and operations
Manufacturing tools and equipment
Optimization and prediction
Simulation of process parameters
Statistical approaches

Applications
Aerospace sector
Bio-medical components
Structural applications
New and advanced materials

Guest Editors
Prof. Munish Kumar Gupta, Opole University of Technology, Poland 
Email: munishguptanit@gmail.com; guptam@susu.ru; munishgupta@sdu.edu.cn 
ORCID: https://orcid.org/0000-0002-0777-1559
Researchgate: https://www.researchgate.net/profile/Munish_Gupta4
Homepage: https://scholar.google.ru/citations?user=kL0oahMAAAAJ&hl=en
Publons links: https://publons.com/researcher/1291588/munish-kumar-gupta/
Interests: Research interest in sustainability, green manufacturing, life cycle assessment, metal cutting, additive manufacturing, metal casting, optimization, artificial intelligence, cooling-lubrication in machining, tribology, heat treatment. Mostly focus on studying different parameters: Effect of tool wear and cutting parameters on tool life, cutting forces, roughness of machined surfaces, physical and mechanical processes in cutting materials. Application of additive manufacturing in different area, wear behavior, artificial intelligence and optimization of process parameters is also under the area of interest.


Mr. Danil Yu. Pimenov, South Ural State University, RUSSIA
Email: danil_u@rambler.ru
ORCID: https://orcid.org/0000-0002-5568-8928
Researchgate: https://www.researchgate.net/profile/Danil_Pimenov 
Homepage: https://scholar.google.ru/citations?user=T4l3-8AAAAJ&hl=en 
Publons links: https://publons.com/researcher/790260/danil-yu-pimenov
Interests: Research interest in metal cutting and cutting tools. The main direction of scientific research is to increase the efficiency of face milling operations by considering tool wear aspects. Mostly focus on studying different parameters: effect of tool wear and cutting parameters on tool life, cutting forces, roughness of machined surfaces, physical and mechanical processes in cutting materials. Application of dynamometers, accelerometers, power sensors for machining processes. Artificial intelligence. Mathematical modeling in machining processes. Optimization of computer numerical Control (CNC) and conventional machining processes.

Highlights of Frontiers of Mechanical Engineering
Peer review period: < 3 months
Publication: CAP and printing
From acceptance to publication: < 3 months
Charge: No page charges, no page limitation
Indexed: SCIE, SCOPUS, Google Scholar, CSCD, etc.

Notes for prospective authors
The submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. All papers are refereed through a peer review process. For more information, please visit 
https://journal.hep.com.cn/
http://link.springer.com/journal/11465

All papers must be submitted through the Manuscript Central System of the journal https://mc.manuscriptcentral.com/fome

Article types
Review article, Research article, Rapid communications, Comments, Prospective

Important dates
Submission deadline: May 31st, 2022
Publication date: October 31st, 2022

For enquiries regarding this special issue please contact the editorial office
Tingting Guo 
guott@hep.com.cn 




Pubdate: 2022-03-04    Viewed: 1450