Mahdi Mohammadizadeh, Hao Lu, Ismail Fidan, Khalid Tantawi, Ankit Gupta, Seymur Hasanov, Zhicheng Zhang, Frank Alifui-Segbaya, and Allan Rennie
Inventions, Vol 5, Iss 44, p 44 (2020)
metal additive manufacturing, sintering, tensile, mechanical analysis, metal material extrusion, Engineering machinery, tools, and implements, TA213-215, Technological innovations. Automation, and HD45-45.2
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 due to the initial cost of the capital equipment, support, and maintenance, etc. This study presents a low-cost metal material extrusion technology as a prospective alternative to the production of metallic parts in additive manufacturing. The filaments used consist of copper, bronze, stainless steel, high carbon iron, and aluminum powders in a polylactic acid matrix. Using the proposed fabrication technology, test specimens were built by extruding metal/polymer composite filaments, which were then sintered in an open-air furnace to produce solid metallic parts. In this research, the mechanical and thermal properties of the built parts are examined using tensile tests, thermogravimetric, thermomechanical and microstructural analysis.
additive manufacturing, machine learning, deep learning, convolutional neural network, failure detection, accuracy, Engineering machinery, tools, and implements, TA213-215, Technological innovations. Automation, and HD45-45.2
Additive manufacturing (AM) is evolving rapidly and this trend is creating a number of growth opportunities for several industries. Recent studies on AM have focused mainly on developing new machines and materials, with only a limited number of studies on the troubleshooting, maintenance, and problem-solving aspects of AM processes. Deep learning (DL) is an emerging machine learning (ML) type that has widely been used in several research studies. This research team believes that applying DL can help make AM processes smoother and make AM-printed objects more accurate. In this research, a new DL application is developed and implemented to minimize the material consumption of a failed print. The material used in this research is polylactic acid (PLA) and the DL method is the convolutional neural network (CNN). This study reports the nature of this newly developed DL application and the relationships between various algorithm parameters and the accuracy of the algorithm.
Shane Terry, Hao Lu, Ismail Fidan, Yunbo Zhang, Khalid Tantawi, Terry Guo, and Bahram Asiabanpour
Technologies, Vol 8, Iss 31, p 31 (2020)
smart manufacturing, energy, cyber-physical system, data analytics, Industrial Internet-of-Things, artificial intelligence, and Technology
Today, the current trends of manufacturing are towards the adaptation and implementation of smart manufacturing, which is a new initiative to turn the traditional factories into profitable innovation facilities. However, the concept and technologies are still in a state of infancy, since many manufacturers around the world are not fully knowledgeable about the benefits of smart manufacturing compared to their current practices. This article reviews several aspects of smart manufacturing and introduces its advantages in terms of energy-saving and production efficiency. This article also points out that some areas need further research so that smart manufacturing can be shaped better.
Background. The paper describes the case of a 62 years non-smoking male patient who was referred to the Department of Periodontology, "Carol Davila" University of Medicine and Pharmacy, complaining of gingival overgrowth. The patient's medical history revealed that he suffers from autosomal dominant polycystic kidney disease chronic renal failure and hypertension; the patient was under treatment with amlodipine, a calcium channel blocker for 18 months. Case presentation. The patient underwent cause-related periodontal therapy and flap surgery in areas where only partial resolution of the gingival overgrowth was obtained after completion of initial phase therapy; amlodipine was not substituted because of medical reasons. Results. We obtained complete resolution of the gingival enlargement, even without any change in the causative drug regimen; the patient was placed in a maintenance program, with regular appointments at 3 months; he successfully managed to maintain periodontal and oral health. Conclusions. If possible, all patients who are about to receive calcium channel blockers, should have a detailed periodontal assessment performed and if any periodontal disease discovered, treated properly. In case of established gingival overgrowth, non-surgical and/or surgical periodontal therapy could induce partial or complete remission of enlargement. Change of medication is also an option. [ABSTRACT FROM AUTHOR]