Author
Bahar Gharehpapagh
Other affiliations: Islamic Azad University
Bio: Bahar Gharehpapagh is an academic researcher from Middle East Technical University. The author has contributed to research in topics: Control system & Sliding mode control. The author has an hindex of 3, co-authored 6 publications receiving 263 citations. Previous affiliations of Bahar Gharehpapagh include Islamic Azad University.
Papers
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TL;DR: In this paper, a comprehensive review on additive manufacturing technologies is presented together with both its contributions to Industry 4.0, focusing on three important aspects of AM: recent advances on material science, process development, and enhancements on design consideration.
497 citations
TL;DR: A comprehensive review of the current state-of-the-art in the field, covering the following three key aspects of the subject: advances in the hybridization of additive manufacturing processes, developments in process planning for integrated technologies, and insights into the hybrid additive manufacturing industry.
Abstract: Despite the rapid growth in the past decade, the industrial adoption of additive manufacturing has not still been achieved due to certain limitations. A recent trend to alleviate its inherent drawbacks is to integrate additive manufacturing with secondary production techniques. Indeed, hybrid additive manufacturing solutions may help overcome the current barriers to today’s production systems by making use of the combined merits of merging technologies. This paper presents a comprehensive review of the current state-of-the-art in the field, covering the following three key aspects of the subject: (i) advances in the hybridization of additive manufacturing processes, (ii) developments in process planning for integrated technologies, and (iii) insights into the hybrid additive manufacturing industry. The main objective of the paper is to classify the latest knowledge for the researchers, along with highlighting challenges and future research directions in this field.
41 citations
01 Jun 2014
TL;DR: The designed FSMC control system keeps a safe longitudinal distance from its leader and makes much less lateral displacement than the real driver, and it can provide a pleasant trip for passengers.
Abstract: Nowadays, car following models, as the most popular microscopic traffic flow modeling, are increasingly being used by transportation experts to evaluate new Intelligent Transportation System applications. The control of the car following is essential to its safety and its operational efficiency. For this purpose, this paper builds fuzzy sliding mode control (FSMC) system for car following maneuver. The aim of designing of this FSMC system is to obtain a controller that maintain safe longitudinal distance and minimizes the lateral movement of the vehicle with its leader vehicle. These goals were reached by producing proper composite torque and steering angle in car following maneuver. This control system has both advantages of sliding mode and fuzzy logic methods. Also, a nonlinear dynamics model with three degrees of freedom has been used to define sliding surfaces in sliding mode control method. The FSMC's performance was evaluated based on real observed traffic data. The simulation results show that the FSMC controller has a behavior much safer than that of real drivers, and it can provide a pleasant trip for passengers. The designed control system keeps a safe longitudinal distance from its leader and makes much less lateral displacement than the real driver.
8 citations
TL;DR: In this article, a comprehensive review on nozzles with variable bead widths is given, and new orientation-controlled extruder designs with rectangular orifice, which focuses on controlling the filament flow inside the nozzle to determine variable beads widths at the output of the nozzle, is introduced.
5 citations
TL;DR: A novel method for generating image projections required for Digital Light Processing type 3D printer systems where the entire cross-section of the printed object is directly formed via projecting the image onto a vat of photopolymers is presented.
3 citations
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TL;DR: In this paper, the authors present an overview of the types of 3D printing technologies, the application of three-dimensional printing technology and lastly, the materials used for 3-D printing technology in manufacturing industry.
686 citations
TL;DR: In this article, the state-of-the-art developments in the design for additive manufacturing (DfAM) and structural optimisation, becomes vital for successfully shaping the future AM-landscape.
330 citations
TL;DR: Artificial Intelligence, Service and Policy Framework, and Circular Economy are significant enablers connecting CE and Industry 4.0 in a supply chain and Interface Designing and Automated Synergy Model are the most significant challenges.
305 citations
TL;DR: In this paper, the authors identified a set of challenges (framework) for implementing Industry 4.0 in manufacturing industries and evaluated them using a novel multi-criteria decision-making method named Best-Worst method (BWM).
242 citations
TL;DR: It is shown that in the research of topology optimization for additive manufacturing, the integration of material, structure, process and performance is important to pursue high-performance, multi-functional and lightweight production.
224 citations