Mahdi Mohammadizadeh

ORCID: 0009-0003-7718-4602
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About
Contact & Profiles
Research Areas
  • Additive Manufacturing and 3D Printing Technologies
  • Innovations in Concrete and Construction Materials
  • Manufacturing Process and Optimization
  • Vehicle Routing Optimization Methods
  • Experimental Learning in Engineering
  • Engineering Education and Curriculum Development
  • Engineering Education and Pedagogy
  • Additive Manufacturing Materials and Processes
  • Artificial Intelligence in Healthcare
  • Electric Vehicles and Infrastructure
  • Transportation and Mobility Innovations
  • Imbalanced Data Classification Techniques
  • Anomaly Detection Techniques and Applications
  • Advanced Sensor and Energy Harvesting Materials
  • Assembly Line Balancing Optimization
  • Biomedical and Engineering Education
  • Nanomaterials and Printing Technologies
  • Smart Parking Systems Research

University of Calgary
2023-2024

Tennessee Technological University
2020-2021

Fused Filament Fabrication (FFF) is a promising technology for production of fiber-reinforced composite parts with complex geometries. Continuous Fiber Reinforced Additively Manufactured (CFRAM) are becoming more prominent due to their mechanical performance, light weight, and recyclability. CFRAM components lighter, yet they strong materials wide range potential applications in the automotive industry, aerospace, medical tools, sports goods. The these novel justifies need study properties....

10.3390/jmmp5030068 article EN cc-by Journal of Manufacturing and Materials Processing 2021-06-29

Mechanical properties of fiber reinforced additive manufacturing (FRAM) parts are affected by the size and orientation. Oriented composite is most likely to produce better properties. The objective this research perform a comparative analysis mechanical short continuous nylon 6 produced with fused filament fabrication (FFF) technology. In study, it was observed that tensile, compression flexural significantly change in length Scanning electron microscopy (SEM) performed after testing observe...

10.1177/00219983211020070 article EN Journal of Composite Materials 2021-05-21

Metal additive manufacturing (AM) has gained much attention in recent years due to its advantages including geometric freedom and design complexity, appropriate for a wide range of potential industrial applications. However, conventional metal AM methods have high-cost barriers the initial cost capital equipment, support, maintenance, etc. This study presents low-cost material extrusion technology as prospective alternative production metallic parts manufacturing. The filaments used consist...

10.3390/inventions5030044 article EN cc-by Inventions 2020-08-24

Additive manufacturing, commonly known as 3D printing, represents the forefront of modern manufacturing technology. Its growing popularity spans across research and development, material science, design, processes, everyday applications. This review paper presents a crucial nano-level examining it from perspectives materials, industrial applications, future trends. The authors have synthesized latest insights wide range archival articles source books, highlighting key findings. primary...

10.3390/technologies12070117 article EN cc-by Technologies 2024-07-18

Metal additive manufacturing (AM) has gained much attentions in recent years due to its advantages including geometric freedom and design complexity, appropriate a wide range of potential industrial applications. However, conventional metal AM methods have high-cost barriers the initial cost capital equipment, support maintenance, etc. This study presents unique low-cost material extrusion (MME) technology. The filaments used polylactic acid (PLA) as matrix powders (copper, bronze, stainless...

10.20944/preprints202008.0019.v1 preprint EN 2020-08-02

Although many real-world applications, such as disease prediction, and fault detection suffer from class imbalance, most existing graph-based classification methods ignore the skewness of distribution classes; therefore, tend to be biased towards majority class(es). Conventional typically tackle this problem through assignment weights each one samples based on a function their loss, which can lead over-fitting outliers. In paper, we propose meta-learning algorithm, named Meta-GCN, for...

10.21428/594757db.0041f830 preprint EN cc-by 2023-06-05

In response to carbon-neutral policies in developed countries, electric vehicles route optimization has gained importance for logistics companies. With the increasing focus on customer expectations and shift towards more customer-oriented business models, integration of delivery time-windows become essential operations. Recognizing critical nature these developments, this article studies heterogeneous vehicle routing problem with time-window constraints (HEVRPTW). To solve variant (VRP), we...

10.48550/arxiv.2407.01615 preprint EN arXiv (Cornell University) 2024-06-27

Innovations in engineering education are undergoing a noticeable transformation. Higher institutions practicing distance education, remote laboratories, studio pedagogies and several other approaches order to increase their students’ retention, success, preparedness for the job market. In maker spaces have become popular last ten years universities as well community colleges, high schools innovation hubs. A large number of colleges allocated significant spaces, at some entire buildings, be...

10.3390/technologies9020032 article EN cc-by Technologies 2021-04-28

Innovations in engineering education are undergoing a noticeable transformation. Higher institutions practicing distance education, remote laboratories, studio pedagogies and several other approaches order to increase their students’ retention, success, preparedness for the job market. In maker spaces have become popular last ten years universities as well community colleges, high-schools innovation hubs. A large number of colleges allocated significant spaces, at some entire...

10.20944/preprints202010.0423.v1 preprint EN 2020-10-21
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