Journal Guide

Lubricants (ISSN 2075-4442) publishes regular research papers, reviews, letters and communications covering all aspects of tribology, including the study and application of the principles of friction, lubrication and wear. Our aim is to encourage scientists to publish experimental, theoretical and computational results that provide new insight and understanding into the scientific and technical basis for lubrication and related phenomenon. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. There are, in addition, three unique features of this Journal: Manuscripts regarding research proposals and research ideas are welcome; Electronic files and software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material; Manuscripts concerning summaries and surveys on research cooperation and projects (that are founded by national governments) to give information for a broad field of users.

The Journal is designed to meet the information requirements of lubricant professionals whose primary concern is the design, formulation, and performance of lubricants and their additives in tribological systems, whichever field of interest - commercial, government, academic, or pure research - they may be involved with.The Journal is an international, refereed journal which aims to publish high-quality research papers, reviews, short communications and letters to the Editor, devoted to all aspects of lubricants and their additives, including synthetic and biodegradable lubricants. The scope includes reporting on the synthesis and/or development of lubricants, their test results compared to results for other lubricants and comparative performance test results in components or equipment.The papers on synthetic lubricants focused on synthetic or biodegradable lubricants and not merely a synthetic additive in a non-synthetic base oil, will be published in the section “Synthetic Lubrication”.TriboTest is a section within the journal which aims to publish high quality papers devoted to all aspects of advancing tribological testing. Reporting of improved techniques for testing, test results evaluation and modelling and simulation techniques that support tribotesting are encouraged. Critical assessments of the effects of test environment, test rig dynamics, accelerated test parameters, and similar, are also of great value.The tribological tests may range from full scale field testing down to lab testing in the nano-scale with objectives ranging from investigating the whole tribological system, down to investigating the influence of a surface treatment, a coating, or the performance of a lubricant additive in the tribological contact. Test evaluation techniques may include microscopy, topographical evaluation, and chemical analysis. This section invites papers on comparative studies of laboratory tests and field tests with respect to mechanisms, performance and ranking, lab test procedures capable of minimising the dependence on full scale field testing, test procedures capable of generating new fundamental understanding of friction and wear processes, at the nano, macro and micro scales, the design, selection and critical evaluation of tribological tests, diagnostic methods and condition monitoring measurement and characterisation of lubrication films, tribofilms and third bodies.

The largest abstract and citation database of research literature and quality web sources covering nearly 18,000 titles from more than 5,000 publishers.

The International Journal of Automation and Computing (IJAC) publishes papers on original theoretical and experimental research and development in automation and computing. The scope of the journal is extensive. Topics include but are not limited to: Artificial intelligence, Automatic control, Bio-informatics, Computer science, Information technology, Modelling and simulation, Networks and communications, Optimization and decision, Pattern recognition, Robotics, Signal processing, Systems engineering.

Machine Learning: Engineering is a multidisciplinary open access journal dedicated to the application of machine learning (ML), artificial intelligence (AI) and data-driven computational methods across all areas of engineering. The journal also publishes research that presents methodological, theoretical, or conceptual advances in machine learning and AI with applications to engineering.

Machine Learning: Health is a multidisciplinary open access journal dedicated to the application of machine learning, artificial intelligence (AI) and data-driven computational methods across healthcare and the medical, biological, clinical, and health sciences. The journal also publishes research that presents methodological, theoretical, or conceptual advances in machine learning and AI with applications to medicine and health sciences.

Sponsored by the International Association for Pattern Recognition, this journal publishes high-quality, technical contributions in machine vision research and development. Machine Vision and Applications features coverage of all applications and engineering aspects of image-related computing, including original contributions dealing with scientific, commercial, industrial, military, and biomedical applications of machine vision. The journal places particular emphasis on the engineering and technology aspects of image processing and computer vision. It includes coverage of the following aspects of machine vision applications: algorithms, architectures, VLSI implementations, AI techniques and expert systems for machine vision, front-END sensing, multidimensional and multisensor machine vision, real-time techniques, image databases, virtual reality and visualization.

Machines (ISSN 2075-1702) is an international, peer-reviewed journal on machinery and engineering. It publishes research articles, reviews, short communications and letters. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. Full experimental and/or methodical details must be provided. There are, in addition, unique features of this journal: manuscripts regarding research proposals and research ideas will be particularly welcomed electronic files or software regarding the full details of the calculation and experimental procedure - if unable to be published in a normal way - can be deposited as supplementary material

Machining Science and Technology publishes original scientific and technical papers and review articles on topics related to machining and traditional and nontraditional machining processes performed on all materials-metals, polymers, ceramics, and composites. In addition, this high-quality journal covers novel concepts for machining of advanced materials; measurement of surface quality and metrology including detection and characterization of machining damage; special cutting tools, coated inserts, new grinding wheels, special coolants, and cutting fluids; and design and implementation of in-process sensors for monitoring and control of surface quality and integrity. Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

Macromolecular Reaction Engineering is the only high-quality journal dedicated exclusively to academic and industrial research in the field of polymer reaction engineering. Following last year's excellent first rating, MRE recently could further increase its Impact Factor by 40% to the 2009 value of 1.488. The journal presents strictly peer-reviewed Feature Articles/Reviews, Full Papers and Communications. It also includes Book Reviews, Essays, Macromolecular News and Conference Reports.