Journal of Machine Engineering (JMachEng) is an international scientific quarterly devoted to current issues relating to product innovative design and manufacturing, holistic modelling, and behaviour improvement through simulations and testing, aided by innovative computer techniques, AI tools, intelligent procedures and state-of-the-art advanced computer control systems, for the efficient precision machining of products according to the current global market demands. It favours solutions harmonizing with the up-to-date manufacturing strategies and the quality requirements and needs of production process design, planning, scheduling and management.

The Journal's range of topics also covers the design and improvement of the operation and maintenance of highly efficient precision machines, processes and service systems, the development of control systems for manufacturing machines and processes and the development of software, especially software which significantly enhances the multicriterial performance of machining processes, supporting design development and autonomy implementation.

The Journal publishes primarily papers concerning the design, R&D and operation of innovative production machines, mainly machine tools and their units, but also papers on the development of high-performance manufacturing processes and systems and their real-time diagnosing, monitoring and servicing. Special attention is paid to research on the modelling, numerical simulation and optimization of machining modules, as well as on intelligent forms of the design and high-performance operation of conventional, unconventional, HSC and nanotechnology precision production machines, processes and manufacturing systems.

Papers dealing with forming technology and additive manufacturing and the development of relevant practical applications are also welcome.

Moreover, the Journal publishes papers on the development and optimization of manufacturing process planning, online monitoring and robust control, real-time distortions recognition, and errors limitation, compensation and self-compensation using advanced self-learning procedures.

The Journal is a continuation of “Machine Engineering” published in the years 2001-2005. Up to 2005 each issue of the latter was devoted to a different topic. Since then the Journal has been more open, covering a broad range of topics, being not limited to one topic per issue.

The papers are carefully selected and reviewed by distinguished scientists and recognised experts worldwide, mostly members of the CIRP International Academy for Production Engineering.

The authors of the publications are eminent specialists from around the world, including Poland.
Journal of Machine Engineering provides best assistance to factories and universities. It enables factories to solve problems and manufacture high quality products at a low cost and fast rate. It enables educators to update their teaching and scientists to deepen their knowledge and pursue research in the right direction. The Journal may prove very interesting and useful for students.

Journal of Machine Engineering is an open access journal. Users can use, reuse and build upon the material published in the Journal, but only for non-commercial purposes.

The scope of the Journal of Machine Engineering includes, but is not limited to, the following areas:

    Intelligent Manufacturing systems development
    Machine Tools intelligence development
    Control systems for intelligent functions of manufacturing
    Intelligent and autonomous functions design, R&D and application
    Robust sensing technologies for manufacturing intelligent control
    Robust real time monitoring of intelligent functions and life cycle of manufacturing systems components
    Machine learning development for manufacturing long-time precision
    Intelligent optimization of manufacturing
    Manufacturing cyber-physical systems development
    Advanced AI procedures for errors modelling and real-time self-compensation
    Intelligent forming and additive manufacturing technologies
    Digital Twin procedures for intelligent autonomous manufacturing
    Manufacturing precision development intelligent control, monitoring and autonomy
    Advanced cutting, grinding and super precise machining R&D and optimization
    Diagnoses and prognoses for predictive maintenance
    Environmentally friendly design and manufacturing
    INDUSTRY 4.0./5.0. strategies application