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S. S. Pachpore

Other affiliations: Bharati Vidyapeeth University
Bio: S. S. Pachpore is an academic researcher from Maharashtra Institute of Technology. The author has contributed to research in topics: Application programming interface & Interface (matter). The author has co-authored 5 publications. Previous affiliations of S. S. Pachpore include Bharati Vidyapeeth University.

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TL;DR: A voicecontrolled upper body exoskeleton for industrial applications which can aid workers wearing it by reducing stresses on their arms and shoulders over longer periods and add up to 20kg more strength in lifting applications is introduced.
Abstract: An exoskeleton is a wearable electromechanical structure that is intended to resemble and allow movements in a manner similar to the human skeletal system. They can be used by both disabled and able people alike to increase physical strength in carrying out tasks that would be otherwise difficult, or as a rehabilitation device to aid in physiotherapeutic activities of a weakened body part. This paper intends to introduce a voicecontrolled upper body exoskeleton for industrial applications which can aid workers wearing it by reducing stresses on their arms and shoulders over longer periods and add up to 20kg more strength in lifting applications. The 3D design, calculations and considerations, and load analysis are presented along with brief results of a basic prototype model of the exoskeleton.

1 citations

Book ChapterDOI
01 Jan 2020
TL;DR: The tie-down methodology for transportation container for safe transportation conditions comprises of applying known acceleration inputs (varying frequencies) to the given container and correlating the response on a virtual simulation model using FEA software.
Abstract: Road transport is an important aspect of routine transportation. This paper describes the tie-down methodology for transportation container for safe transportation conditions comprises of applying known acceleration inputs (varying frequencies) to the given container and correlating the response on a virtual simulation model using FEA software. The required input for FEA is taken from Indian road conditions includes accelerations in lateral, longitudinal and vertical directions on the transportation container. Experimentation is done through multi-axis simulation table (MAST) is used for determination of acceleration factors using low-frequency excitation signals which are generally linked with transport vehicles. The results are compared with FEA results in order to develop a methodology for the prediction of acceleration factors on transportation container. The developed solution has been successfully tested on taking an industrial component and verified. The same may be used for prediction of the dynamic behavior of the industrial component.

1 citations

Proceedings ArticleDOI
30 Jul 2021
TL;DR: In this article, an application programming interface (API) was developed to ease the designing of mechanical spring, reduce calculation time, and improve accuracy and optimization in design using a knowledge-based engineering approach.
Abstract: The objective of this paper is to ease the designing of mechanical spring, reduce calculation time, and improve accuracy and optimization in design using a Knowledge-based Engineering approach. The Application programming interface (API) was programmed using Java on the NetBeans IDE, which provides a variety of tools to build applications. Several standard reference books, research papers, and links were studied to finalize the formulae and factors like materials of the springs. The design for a user-friendly Graphic User Interface (GUI) was made considering the input and output values. To examine the API, we tested it with some numerical problem statements for each spring. From the results obtained, it was observed to have 0 to 3% of the error, when compared with manual calculations. The objectives of the calculator were achieved as the time of calculations was reduced by 95%. Other aims of accuracy and efficiency desired were fulfilled too. As a result of all this, the overall cost, errors, and complexities of mechanical components design are also reduced. The findings prove that this API can be a quick and efficient method to choose the spring of desired requirements for spring manufacturers and designers as it enhances design assistance. The API aids Design Automation and CAD Customization. The API calculator displays if the designed spring is safe and if a guide is required. The user can choose materials and can customize the calculator as required.
Journal ArticleDOI
TL;DR: In this article , an attempt to develop an API for calculation of area of Heat Exchanger required for an IC Engine is presented, which is focused towards understanding the combined effect of various parameters in a heat transfer system.
Abstract: These In recent years, the intense competition in development of new products followed by their rapid prototyping has given rise to an intense competition in the market. In order to automate the design, development of Application Programming Interface (API) is most commonly followed method. The presented work showcases an attempt to develop an API for calculation of area of Heat Exchanger required for an IC Engine. The sAPI has been developed using two commonly used coding languages – HTML (Hypertext Markup Language) and Java script. The HTML along with the integration of CSS is used to develop the user interface and the mathematical formulae have been formatted into the Java script. The API is focused towards understanding the combined effect of various parameters in a heat transfer system.

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Journal ArticleDOI
TL;DR: In this paper , the authors carried out a structural analysis of a single row deep groove ball bearing for estimating contact stress and total deformation for three grades of materials viz. Silicon Nitride (Si3N4), 440C Stainless Steel, and AISI 4140 Alloy Steel.
Abstract: : A deep groove ball bearing is a rotary element designed for supporting a radial as well as axial load, low friction, and widely used due to little noise and vibration which supports high rotational speeds. In this article, the author carried out a structural analysis (using FE Simulation) of a single row deep groove ball bearing for estimating contact stress and total deformation for three grades of materials viz. Silicon Nitride (Si3N4), 440C Stainless Steel, and AISI 4140 Alloy Steel. Under the scope of the study, modeling is done using Autodesk Platform and analyzed using ANSYS as an FEA tool. The natural boundary conditions were applied to estimate the fatigue life of bearings under standard operating conditions. The obtained results indicate Silicon nitride material was found to be more significant amongst all materials taken for considerations.
Journal ArticleDOI
TL;DR: In this paper , the root canal center line curvatures and their cross-sectional dimensions are used to determine the geometry of a root canal model, which is based on the measurement and statistical evaluation of the root canal center line's curvatures.
Abstract: Models of artificial root canals are used in several fields of endodontic investigations and pre-clinical endodontic training. They allow the physical testing of dental treatments, the operating of instruments used and the interaction between these instruments and the tissues. Currently, a large number of different artificial root canal models exist whose geometry is created either on the basis of selected natural root canal systems or to represent individual geometrical properties. Currently, only a few geometric properties such as the root canal curvature or the endodontic working width are taken into consideration when generating these models. To improve the representational capability of the artificial root canal models, the aim of the current study is therefore to generate an artificial root canal based on the statistical evaluation of selected natural root canals. Here, the approach introduced by Kucher for determining the geometry of a root canal model is used, which is based on the measurement and statistical evaluation of the root canal center line’s curvatures and their cross-sectional dimensions. Using the example of unbranched distal root canals of mandibular molars (n = 29), an artificial root canal model representing the mean length, curvature, torsion and cross-sectional dimensions of these teeth could be derived.