CAD CAM Research Journal | IJSREAT Peer Reviewed 2026
CAD CAM Research Journal โ IJSREAT
The International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) is described as a bi-monthly, international, peer-reviewed, open-access, and multidisciplinary online journal covering Science, Engineering, and Technology. Researchers looking for a CAD CAM research journal can explore a multidisciplinary platform for research involving computer-aided design, computer-aided manufacturing, mechanical engineering, automation, robotics, materials, artificial intelligence, and computer science.
IJSREAT states that it was established by academicians, educationists, engineers, and industry professionals to provide a platform for original research contributions, technological innovations, and fundamental advancements. Its multidisciplinary scope can support CAD CAM research connecting digital design, manufacturing technologies, intelligent systems, simulation, automation, and engineering applications.
๐ป CAD CAM Research Journal Scope
CAD CAM integrates computer-aided design and computer-aided manufacturing to support digital product development, engineering design, production planning, modelling, simulation, and automated manufacturing. A CAD CAM research journal can cover research across mechanical engineering, manufacturing, robotics, automation, materials science, artificial intelligence, and software technologies.
- ๐ต Computer-Aided Design: CAD modelling, digital product design, geometric modelling, and engineering visualization.
- ๐ข Computer-Aided Manufacturing: CNC technologies, automated production, process planning, and manufacturing optimization.
- ๐ Mechanical Engineering: Machine design, manufacturing systems, materials, dynamics, and engineering simulation.
- ๐ฃ Robotics and Automation: Industrial robots, automated production systems, control, and intelligent manufacturing.
- ๐ด Artificial Intelligence: Machine learning, optimization, prediction, computer vision, and intelligent engineering systems.
- ๐ก Computer Science: Software engineering, data science, embedded systems, cloud technologies, and computational design.
๐ Computer-Aided Design Research
Computer-aided design enables engineers and researchers to create, modify, analyze, and visualize digital models. CAD research can investigate geometric modelling, 3D design, design optimization, simulation-assisted development, digital prototyping, and computer-based engineering workflows.
- ๐ 2D and 3D CAD modelling
- ๐งฉ Parametric and feature-based design
- ๐ Digital product development
- ๐ Engineering design optimization
- ๐ฅ๏ธ Computer-aided simulation
- ๐งช Digital prototyping and virtual testing
๐ญ Computer-Aided Manufacturing Research
Computer-aided manufacturing connects digital product models with manufacturing processes and production equipment. Research may focus on automated process planning, CNC machining, tool-path generation, manufacturing optimization, production monitoring, and intelligent manufacturing systems.
- โ๏ธ CNC machining and programming
- ๐ ๏ธ Automated process planning
- ๐ Tool-path generation and optimization
- ๐๏ธ Digital manufacturing workflows
- ๐ Manufacturing process monitoring
- ๐ค Automated production systems
โ๏ธ CAD CAM and Mechanical Engineering
CAD CAM technologies are closely connected with mechanical engineering through product design, machine development, manufacturing, simulation, and production engineering. Research can integrate CAD models with mechanical analysis and automated manufacturing processes.
- ๐ต Machine design and digital modelling
- ๐ข Mechanical component development
- ๐ Manufacturing process optimization
- ๐ฃ Engineering simulation
- ๐ด Product development and prototyping
๐ฆพ Robotics and Automation in CAD CAM
Robotics and automation can extend CAD CAM workflows into intelligent manufacturing environments. IJSREAT lists robotics, automation, autonomous navigation, robot kinematics and control, and embedded AI among its stated research areas.
CAD CAM research may therefore investigate robotic manufacturing, automated assembly, robot-assisted machining, intelligent production lines, automated inspection, and integration between digital design systems and robotic equipment.
- ๐ค Robotic manufacturing
- ๐ญ Automated assembly
- ๐ฆพ Robot-assisted production
- ๐ฏ Robot kinematics and control
- ๐ Automated inspection
๐ง AI and Machine Learning for CAD CAM
Artificial intelligence and machine learning can support design optimization, manufacturing prediction, defect detection, process monitoring, and intelligent production planning. IJSREAT's stated scope includes Explainable AI, supervised and unsupervised learning, reinforcement learning, federated and edge machine learning, anomaly detection, and forecasting.
Researchers can explore machine learning for manufacturing quality prediction, intelligent tool-path optimization, automated defect detection, predictive maintenance, process parameter optimization, and data-driven CAD CAM workflows.
๐ป Computer Science in CAD CAM Research
Computer science contributes to CAD CAM through software engineering, artificial intelligence, machine learning, data science, computer vision, cloud computing, cybersecurity, and embedded systems. Computational methods can improve digital design, manufacturing analysis, process monitoring, and intelligent production.
Potential topics include CAD software development, design automation, computational geometry, manufacturing data analytics, cloud-based CAD systems, computer vision for inspection, AI-assisted design, and intelligent manufacturing software.
๐ท Computer Vision and Automated Inspection
Computer vision can be integrated with CAD CAM systems for automated inspection, surface analysis, object recognition, defect identification, and production quality control. IJSREAT lists image segmentation, image classification, object detection, face recognition, biometrics, and medical image analysis using CNNs within its broader scope.
- ๐ท Machine vision inspection
- ๐ Defect detection and classification
- ๐ญ Automated quality control
- ๐ Image-based manufacturing analysis
- ๐ง CNN-based visual analysis
๐งช Materials Science and CAD CAM
Materials science is relevant to CAD CAM through material selection, manufacturing process development, product performance, and advanced production technologies. IJSREAT includes materials science and nanotechnology within its multidisciplinary scope.
Research can investigate digital material modelling, manufacturing of advanced materials, material optimization, nanotechnology applications, and design-for-manufacturing approaches.
๐จ๏ธ CAD CAM and Advanced Manufacturing
CAD CAM technologies can support advanced manufacturing by connecting digital product models with automated production processes. Research may address digital manufacturing, process optimization, intelligent machining, automated production, and data-driven manufacturing systems.
The integration of CAD CAM with robotics, IoT, artificial intelligence, computer vision, and data analytics can support research into smart factories and connected production environments.
๐ก IoT and Smart CAD CAM Manufacturing
Internet of Things technologies can connect manufacturing equipment, sensors, machines, and monitoring platforms. IJSREAT includes smart connected devices, IoT security, sensor networks, encryption protocols, edge computing, and fog computing within its stated scope.
- ๐ก Connected manufacturing equipment
- ๐ Industrial IoT security
- ๐ Real-time production monitoring
- โ๏ธ Edge and fog computing
- ๐ญ Smart factory applications
๐ฑ Sustainable CAD CAM Research
Sustainable CAD CAM research can investigate material efficiency, energy-efficient manufacturing, optimized production processes, sustainable product development, and environmentally responsible engineering. IJSREAT includes renewable energy systems and sustainable technologies within its stated multidisciplinary scope.
Digital design and manufacturing methods can also support research into reducing material waste, improving process efficiency, optimizing production parameters, and developing sustainable engineering workflows.
๐ Fast Publication and Rapid Peer Review
IJSREAT describes a streamlined publication process for submitted manuscripts. According to the supplied information, authors can receive an initial acknowledgment within 12 hours, expert review is targeted within 2 days, and decision notification is targeted within 3 days.
Researchers searching for fast publication or rapid publication should consider these figures as stated processing targets rather than guaranteed publication timelines. Actual processing may vary according to reviewer availability, manuscript quality, revisions, and editorial requirements.
๐ฐ Low Cost CAD CAM Research Journal
IJSREAT describes an open-access publication model with an article processing fee after manuscript acceptance. Researchers looking for a low cost CAD CAM research journal can review the supplied APC details and should confirm the latest fees, applicable taxes, DOI information, and payment requirements before submission.
| Author Category | DOI Option | Listed APC |
|---|---|---|
| Indian Authors | Without DOI | 1200 INR + 18% GST |
| Indian Authors | With DOI | 1400 INR + 18% GST |
| Authors Other Than Indian Authors | With DOI | $60 USD |
The APC information above is based on the supplied IJSREAT content. Authors should confirm current article processing charges, GST or applicable taxes, DOI availability, and payment instructions directly with the journal before making a payment.
๐ Google Scholar and Indexing Information
The supplied IJSREAT information lists Google Scholar and several indexing or abstracting services, including Elsevier Mendeley, Semantic Scholar, Dimensions, WorldCAT, SSRN, and others. Researchers should independently verify current indexing status through the relevant databases before relying on any indexing claim.
๐๏ธ UGC CARE Verification for CAD CAM Research
Researchers evaluating a CAD CAM research journal should independently verify whether the journal currently has any specific UGC CARE recognition or status applicable to their institution or publication requirements. A Google Scholar listing or inclusion in another database should not be treated as evidence of UGC CARE recognition.
Authors should consult current official information from the relevant authorities and their institution before relying on UGC CARE-related requirements, recognition, or eligibility.
๐ Open Access CAD CAM Research
IJSREAT describes itself as an open-access journal, with published research intended to be freely accessible online. Open access can support wider dissemination of CAD CAM research among engineering researchers, academicians, students, industry professionals, and technology practitioners.
CAD CAM submissions can connect mechanical engineering with manufacturing, robotics, automation, artificial intelligence, machine learning, IoT, data science, computer science, materials science, and sustainable technologies.
๐ก๏ธ Plagiarism Protection and Publication Ethics
IJSREAT states that plagiarism screening and publication ethics are part of its publication process and describes adherence to COPE best-practice guidelines. Authors submitting CAD CAM research should ensure that manuscripts are original, properly referenced, ethically prepared, and not submitted simultaneously elsewhere.
- ๐ต Submit original research and cite sources appropriately.
- ๐ข Follow applicable research and publication ethics requirements.
- ๐ Check CAD models, figures, tables, datasets, and references carefully.
- ๐ฃ Avoid duplicate and simultaneous submissions.
- ๐ด Review the latest author guidelines before submission.
๐ Advanced Editorial Management System
The supplied IJSREAT information describes an editorial management system intended to support manuscript submission, progress tracking, document generation, and publication access.
- ๐ต Author Dashboard: Personalized submission history and status updates.
- ๐ข Real-time Tracking: Follow paper progress through publication stages.
- ๐ Automated Documents: Generation of acceptance letters and copyright forms.
- ๐ฃ Easy Downloads: Access certificates and published papers.
๐ฌ Interdisciplinary CAD CAM Research
Modern CAD CAM research is interdisciplinary and can combine mechanical engineering, manufacturing, electronics, robotics, automation, artificial intelligence, machine learning, IoT, data science, computer science, and materials science.
This combination can support research into digital product development, intelligent manufacturing, automated inspection, robotic machining, predictive maintenance, design optimization, smart factories, and data-driven production systems.
๐ Submit CAD CAM Research
Researchers preparing a manuscript for a CAD CAM research journal can review the stated IJSREAT scope and prepare an original research paper, review article, or technical note related to CAD, CAM, manufacturing, mechanical engineering, automation, robotics, or associated technologies.
For publication-related queries, authors can contact the IJSREAT editorial office at editorinchief@ijsreat.com.
Online Submission: IJSREAT Online Editorial Submission System
โ CAD CAM Research Journal Submission Checklist
- ๐ต Confirm that the manuscript fits the CAD CAM and broader IJSREAT scope.
- ๐ข Prepare an original research paper, review article, or technical note.
- ๐ Review manuscript formatting, CAD figures, tables, references, and supporting information.
- ๐ฃ Check plagiarism and publication ethics requirements.
- ๐ด Confirm the latest APC, DOI information, and applicable taxes before payment.
- ๐ก Independently verify Google Scholar, UGC CARE, and other indexing or recognition information where relevant.
- ๐ต Submit the manuscript through the online editorial system.
- ๐ข Monitor the manuscript and respond to editorial or reviewer requests as required.
Important Note: Journal features, publication timelines, APCs, indexing information, and recognition details presented on this page are based on the supplied IJSREAT content. Authors should verify the latest official details before submitting a manuscript or making any payment.