Journal of Materials Processing TechnologyJournal Home
The Journal of Materials Processing Technology covers the processing techniques used in manufacturing components from metals and other materials. The journal aims to publish full research papers of original, significant and rigorous work and so to contribute to increased production efficiency and improved component performance. Areas of interest to the journal include: • Casting, forming and machining • Additive processing and joining technologies • The evolution of material properties under the specific conditions met in manufacturing processes • Surface engineering when it relates specifically to a manufacturing process • Design and behavior of equipment and tools The core interest of the journal is the processing of metals, but we also cover other materials, where the article is focused on the influence of the process on the materials, and where there are not other more appropriate dedicated journals. For example ductile forming of polymers if of interest, but the influence of polymer composition on properties is well covered in dedicated polymer journals. A typical article will examine the influence of process design, tool design, or process operating conditions on the properties of the material or the future performance of the equipment. Most articles combine appropriate quantitative analysis with well designed experiments. The sciences of materials, tribology and thermodynamics are well covered in other dedicated journals, so these topics are of interest to this journal only when applied specifically to give insight into the processing techniques used in manufacturing components. For example, processes for engineering surfaces are of interest, but the analysis of friction is well covered by specialised journals of wear or tribology. The journal's Editorial Policy defines our basis for considering submissions. Typical published articles will contribute significant new transferable knowledge in the form of (a) an innovation or (b) a new insight into material processing in the form of a transferable qualitative or quantitative explanation of a difference between experimental measurements and the predictions of existing theory. 'Transferable' knowledge applies to materials or processing conditions broader than those tested within the article. The Journal of Materials Processing Technology generally does not accept papers in the following areas: • Simulation with no experimental verification and/or which gives no new insight into the process • Experimental reports which do not provide a convincing analytical or physical explanation of observed behaviour • Topics that properly belong to the materials science literature. Examples include the synthesis of materials, chemical experiments and studies of material composition. • The analysis of material properties, surfaces or product performance without reference to the processing which caused them. • Statistical methods or techniques from Artificial Intelligence which treat the process as a black box. • The operation of equipment, without reference to materials (such as tool path design in CNC machining), or the management of factory systems. As stated in the journal's editorial policy, the Journal of Materials Processing Technology does not accept multiple-part papers, short communications or case studies. Papers submitted to the journal will only be considered if they have been prepared according to the journal's Guide for Authors.
Publishing Model:Hybrid OA
ISSN:0924-0136
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EISSN:1873-4774
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Publication Frequency:12 times a year
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Last updated on  01 May 2026 / Current volume: 杚逦声 / Current issue:
More Details
Journal Disciplines
Metallurgy and Metal Technology
Open Access Information
Publication FEEs
APCs: 3890 (USD)
This journal publishes articles under the following open access license
OA License: CC BYCC BY-NCCC BY-NC-ND
Peer-Review
Double-blind Peer Review
Author's Copyright Notice
Author's Rights:--
Journal Metrics

Impact Factor

Journal Impact Factor(JIF) 2024
篫.逦
Journal Citation Indicator(JCI) 2024
声.缗篫
Web of Science Rank 2024:
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# 䟕/篫声
88.03%
Q1
胦嵻穫乊葤喊嵻欄偌 偌。喊乊沟。乊, 胦侶欄穫喊枀喊偌。喊鵝欄喊沟嵻葤巨
# 䟕逦/鋺炆蔡
79.46%
Q1
乊沟佥喊沟乊乊葤喊沟佥, 喊沟枀侶偌穫葤喊嵻欄
# 䟕/炆䟕
87.68%
Q1

CiteScore Metrics

CiteScore 2024
声鋺.杚
=
  缗蔡杚逦逦 Citation (2022-2024)
  声鋺缗杚 Article (2022-2024)
CiteScore Rank 2024
胦蠹锆囹⻊详 囹鵃罒 嵻⻊⻊肃续详
# 声声/声篫逦
93.71%
Q1
。肃陱卖憗锆蠹㥌 偌桧嚷蠹鵃桧蠹 嵻卖卖⻊嚷桧囹锆嚷肃鵃详
# 逦躭/䟕鋺篫
93.88%
Q1
喊鵃罒憗详锆㥌嚷囹⻊ 囹鵃罒 胦囹鵃憗鯉囹桧锆憗㥌嚷鵃茡 乊鵃茡嚷鵃蠹蠹㥌嚷鵃茡
# 缗篫/鋺蔡缗
93.28%
Q1
。蠹㥌囹陱嚷桧详 囹鵃罒 。肃陱卖肃详嚷锆蠹详
# 声缗/声杚蔡
90.77%
Q1
Abstracting Indexing