Machines

Scope & Guideline

Shaping tomorrow's solutions with peer-reviewed research.

Introduction

Welcome to the Machines information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of Machines, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN-
PublisherMDPI
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationMACHINES / Machines
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND

Aims and Scopes

The journal 'Machines' focuses on the intersection of mechanical engineering, robotics, and advanced manufacturing technologies. It aims to publish innovative research that significantly contributes to the understanding of machine design, control systems, and their applications in various industrial settings.
  1. Mechanical Design and Analysis:
    This area encompasses the design, modeling, and analysis of various mechanical systems including gears, motors, and robotic structures, emphasizing the integration of theoretical and practical approaches.
  2. Control Systems and Robotics:
    Research in this scope focuses on control strategies for robotic systems and automation, including adaptive control, reinforcement learning, and real-time control applications for autonomous vehicles and manipulators.
  3. Manufacturing Technologies and Processes:
    This includes studies on advanced manufacturing techniques such as additive manufacturing, CNC machining, and hybrid manufacturing processes, exploring their efficiency, sustainability, and quality control.
  4. Fault Diagnosis and Predictive Maintenance:
    The journal publishes methodologies for fault detection, diagnosis, and predictive maintenance of machinery, utilizing machine learning and data-driven techniques to enhance operational reliability.
  5. Energy Efficiency and Sustainability:
    Research addressing energy consumption, waste reduction, and sustainable practices in manufacturing and machine operation, highlighting innovative technologies that contribute to cleaner production methods.
  6. Material Science and Engineering:
    This area covers studies on the properties and performance of materials used in machine components, focusing on wear, fatigue, and the integration of smart materials in mechanical systems.
In recent years, 'Machines' has seen a notable rise in interest towards several innovative and contemporary research themes. The following emerging areas reflect the journal's adaptation to current technological trends and the needs of the industry.
  1. Artificial Intelligence in Mechanical Systems:
    The integration of AI and machine learning in mechanical engineering applications is rapidly gaining traction, focusing on predictive maintenance, fault diagnosis, and optimization of control systems.
  2. Sustainable Manufacturing Practices:
    There is an increasing emphasis on research related to sustainability, including energy-efficient designs, eco-friendly manufacturing processes, and the application of renewable energy sources in machine operation.
  3. Advanced Robotic Systems and Human-Robot Collaboration:
    Research on collaborative robots (cobots) and their applications in various sectors is trending, with a focus on enhancing human-robot interaction, safety, and efficiency in shared workspaces.
  4. Digital Twin Technology:
    Digital twins are becoming a crucial area of research, enabling real-time monitoring and simulation of physical systems for improved design, maintenance, and operational efficiency.
  5. Smart Materials and Structures:
    The exploration of smart materials that can adapt to their environment or change properties under different conditions is emerging as a key research area, particularly in robotics and aerospace applications.
  6. Robotics in Agriculture and Environmental Applications:
    The application of robotics in agriculture, environmental monitoring, and disaster management is increasingly popular, reflecting the demand for innovative solutions in these critical areas.

Declining or Waning

While 'Machines' continues to explore a wide range of topics, certain areas have shown a gradual decline in publication frequency, suggesting shifts in research focus or reduced interest. The following themes have been observed to be less prevalent in recent issues.
  1. Traditional Mechanical Engineering Methods:
    Research focusing solely on classical mechanical engineering methods without incorporating modern technologies like AI or machine learning appears to be waning, reflecting a shift towards more innovative approaches.
  2. Conventional Material Processing Techniques:
    Studies centered around traditional machining processes, such as manual machining and basic CNC techniques, are being overshadowed by advanced manufacturing technologies, particularly those involving automation and digitalization.
  3. Static Mechanical Systems Analysis:
    Analysis and modeling of static systems without dynamic considerations are becoming less common, as there is a growing emphasis on dynamic behavior and real-time analysis in mechanical engineering.
  4. Basic Robotics Control without AI Integration:
    Research on basic robotic control strategies that do not utilize artificial intelligence or machine learning techniques is declining, as the field increasingly embraces intelligent systems that enhance performance and adaptability.

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