Journal of Simulation and Analysis of Novel Technologies in Mechanical Engineering
Volume:13 Issue: 4, Nov 2021

In this study, the impact of input parameters of Electrical Discharge Machining (EDM) on A356 nano-composite reinforced by 6% SiC was investigated and optimized using Taguchi's method based on the L9 orthogonal array and duplicated levels method. We considered voltage, current intensity, pulse on-time, and pulse off-time as the input parameters. Furthermore, material removal rate (MRR), tool wear rate (TWR), and surface roughness (SR) were taken into account as the output parameters. The analysis of results and examination of the signal-to-noise graphs (S/N) and analysis of variance (ANOVA) were performed using Minitab@16 software. Moreover, with the determination of the loss function of total normalized values of the output parameters based on assumed weight functions, the optimal level of each input parameter was established. Besides, the magnitude of contribution percentage of each of the input parameters in the total variance was computed through the variance analysis. According to the achieved results, the second level of the voltage (250 V), the first level of the current intensity (10 A), the third level of the pulse on-time (100 µs), and the first level of the pulse off-time (30 µs) were determined as the optimal input parameters. The contribution percentage of the input parameters for voltage, current intensity, pulse on-time, and pulse off-time was determined respectively to be 20.7, 62.06, 9.19, and 8.05.

Bioactive glass has been used successfully as a bone filler in dental surgery. Recently, attention has focused on researching the production of bioactive glass (BG) through sol-gel reactions. Among natural ceramics, BG has proper mechanical and chemical stability compared to conventional ceramics. These materials have certain biological and chemical properties such as proper biocompatibility and biodegradability. one of the strengths is its biocompatibility and biodegradability and lack of immune response besides its proper mechanical properties of about 500 MPa which has about the maximum of 180 MPa mechanical strength. The BG bio-ceramic is primarily used to repair bone and tooth damage or defects that can be reproduced by natural processes. The first successful surgery used in 45S5 bioglass was to replace the middle ear bones to solve the auditory conduction problem. Also, the microscopic analysis of pulp cells with 45S5 bio-glass produced shows the least toxic effect. Bioglass 45S5 can act as a biocompatible material that could potentially be used safely on dentin.

Development of materials for use in medicine and industries is one of the biggest challenges in research in materials science. Today, absorbable, biocompatible and biodegradable polymers have been identified to be used as alternative materials for biomedical applications. Among the biomaterials used in medical fields, polylactic acid (PLA) have been considered widely. This polymer obtained from completely renewable sources and due to their good physicochemical properties in various industries it is highly recommended. The purpose of this study was to introduce PLA mechanical properties using molecular dynamics (MDs) simulation. The special advantage of PLA over other polymers is its biodegradation, which is generally degraded by a single-step process involving a bacterial attack on the polymer itself. It is easily degraded in atmospheres with high humidity and temperatures of 50-70°C. However, at lower temperatures or lower humidity, the stability of PLA products is higher. The MD analysis indicates that the density value corresponds well to the experimental values. Based on the molecular model, the elastic modulus properties of the model were investigated. In this study, the average elastic modulus of the molecular PLA model was calculated to be about 2.2 GPa.

Cancer is now one of the leading causes of death in the world. Existing therapies such as chemotherapy, radiation therapy and other methods due to the effect on other parts and even some side effects that in some cases are irreversible, has led researchers to find a new and more specific method with fewer side effects. On the other hand, the development of nanotechnology, in addition to the treatment of cancer, has been used in various fields, especially drug delivery and diagnostic and imaging cases. Because of their similarity to biological molecules, nanoparticles can easily enter cells and receive much attention when it comes to drug delivery to target tissues. Also, the best and effective solution for treatment is the use of multidisciplinary approaches, and on the other hand, one of the challenges in medical image recognition methods is the problem of dense tissue analysis and the time-consuming process of diagnosis. Which has caused machine learning and deep learning (artificial intelligence) to receive much attention. Deep learning techniques use data stored in electronic health systems files and process large amounts of resources such as medical imaging and artificial neural networks to help physicians analyze information and diagnose multiple diseases. And makes the diagnosis automatically

Demand increase for reduction of fuel consumption and emissions of internal combustion engines has caused technology development in the automobile industry. A successful solution is downsizing the internal combustion engines and adding turbochargers to them. One of the consequences of adding turbocharger to the engine is slower transient response of the engine in comparison to the naturally aspirated engines. In this paper, the engine simulation is done in one-dimensional software GT-POWER and the torque transient response is being focused. For optimization, the coupling between two software of GT-POWER and MATLAB SIMULINK is used to find a rapid way for calculation of a proper strategy in order to utilize variable valve timing (VVT) technology during the transient. Variable valve timing in this study refers to opening and closing timing of inlet and exhaust valves. The optimization target is to maximize the torque integral during time interval of the transient. The transient in this paper is the one in which the engine speed is constant and the load increases rapidly and suddenly to a special value (step increase of load). Improved genetic algorithm is used for optimization. The studied engine is 1.65 liters EF7-TC which is a spark ignition engine equipped with turbocharger.

Physical stimuli have a great impact on the survival, behavior, and function of all life. Recently, a theory has been proposed to understand cellular behavior in times of failure and disease, stating that cellular processes and damage can be affected by mechanical forces. Scientific evidence suggests that mechanical changes can affect many of the primary cellular mechanisms, as well as important aspects of cell behavior such as cell adhesion, movement, and signal transmission. In this study, we examine the history of the effects of mechanical stimulation from the beginning to the present, what is cell biomechanics, introduce features and methods to study cell characteristics such as micropipette suction and atomic force microscopy (AFM). In addition, to consider the effects of biomechanical stimulation it should be point out to cells using stimuli which can be useful including inducing differentiation into stem cells to produce bone cells that are applied by special devices that are briefly examined for the beneficial effects. It also has negative aspects for the cell, such as the occurrence of metastases in cancer cells. In this work, the effect of changes in the inclination, frequency and strain on the cancer cell was also investigated.