Automated mechanical system for loading and feeding two machined plates for assembly and rotating by 90˚ in Automobile Industry

© ASEE 2016Purpose of this research paper is to introduce a design of a fully automated, cost effective, high-speed mechanical system. This system will assemble two plates of a batch or lot production and deliver them for inspection. For example, in the automobile industry, this system can be used to carry out an assembly of a clutch release bearing and its hub. Automated tools like a rod less pneumatic cylinder and gripper unit, a mechanical flipper wheel, precision indexing conveyors and proximity laser sensors have been used to complete the required tasks at high-speed and with high accuracy. This system is designed and modeled using the Creo Parametric 2.0 software and its computer-aided structural analysis is carried out with the assistance of the ANSYS Workbench 16.0 software

Automated and High Speed Mechanical System for Assembling of Self Centering Release Bearing in Automobile Industries

The moto of this research paper is to design and simulation of a fully automated and high speed assembly system design for self-centering release bearing, which can reduce human efforts, time consumption and eventually cost of a final product. This system increases efficiency and production rate on an assembly line. This system has been designed by using PTC Creo 2.0 a modelling software. For the gripping purpose a self-centering gripper is used, which is designed in such a way that it holds the bearing hub with center matching technology and assemble it over self-centering release bearing within the exact tolerance zone. To control all motions of the grippers and the center matching tools the rod less pneumatic cylinders are used. At the end, the computer aided structural analysis and validation of the bearing hub and the gripper have been performed using ANSYS Workbench 16.0 to study the stresses developed and deformation pattern during the process of assembly

Automated and High Speed Mechanical System for Loading and Feeding Clutch Release Bearing and Hub for Assembly and Rotating That Assembly by 90˚ in Automobile Industries

The agenda of this research poster is to design fully automated high-speed mechanical system which should be cost effective as well. The purpose of designing this system is to assemble two plates and their inspection for a batch or lot production at high-speed. To relate this to real world application in the automobile industry, the whole operation is performed to carry out an assembly of clutch release bearing and its hub. Automated tools like rod less pneumatic cylinder and gripper unit, mechanical flipper wheel, precision indexing conveyors and proximity laser sensors have been used to complete the required tasks at high-speed and with high accuracy. This system is designed and modeled using Creo Parametric 2.0 and its computer-aided structural analysis is carried out with the help of ANSYS Workbench 16.0

Tooling and Fixture Design for Component Manufacturing in Automobile industry

Mass production aims at high productivity to reduce unit cost and interchangeability to facilitate easy assembly. Fixtures hold the work pieces securely in correct position with respect to the welding / machine / cutter during operation

Counting the number of people in High Density Crowd

To find total count of the people in the crowded area is challenging task for the any system over the years. Total count of people is very important for the management of the crowd. The proposed system addresses the issue of detection and counting of people in exceedingly swarmed video scenes. So, this people counting system aim at automatically estimating the number of people with some time interval in several scenarios at high density crowd based on Face Detection

Open X-Embodiment:Robotic learning datasets and RT-X models

Large, high-capacity models trained on diverse datasets have shown remarkable successes on efficiently tackling downstream applications. In domains from NLP to Computer Vision, this has led to a consolidation of pretrained models, with general pretrained backbones serving as a starting point for many applications. Can such a consolidation happen in robotics? Conventionally, robotic learning methods train a separate model for every application, every robot, and even every environment. Can we instead train "generalist" X-robot policy that can be adapted efficiently to new robots, tasks, and environments? In this paper, we provide datasets in standardized data formats and models to make it possible to explore this possibility in the context of robotic manipulation, alongside experimental results that provide an example of effective X-robot policies. We assemble a dataset from 22 different robots collected through a collaboration between 21 institutions, demonstrating 527 skills (160266 tasks). We show that a high-capacity model trained on this data, which we call RT-X, exhibits positive transfer and improves the capabilities of multiple robots by leveraging experience from other platforms. The project website is robotics-transformer-x.github.io

Backward-in-time input reconstruction

Input reconstruction is the problem of reconstructing unknown inputs to the system, be it deterministic or stochastic or a combination of both, from knowledge of plant model and the output measurements alone. Being a fundamental and long-standing problem, the literature on this topic is extensive, but is also somewhat fragmented. Furthermore, connections between feasibility of input reconstruction and zeros of the system have been established in the literature. In this paper, we explore possible methods to reconstruct inputs for systems with non-minimum phase zeros. Although the existing literature suggests that in the presence of non-minimum phase zeros, any estimator will yield an error that grows in time, we are able to overcome this problem by developing an estimator that goes backward in time.by Gaurav Kumar Singh, Roshan Chavan, Vrutangkumar V. Shah and Ajinkya P. Dahal

Evaluation of pulpal anesthesia and injection pain using IANB with preheated, buffered and conventional 2% lignocaine in teeth with symptomatic irreversible pulpitis—a randomized clinical study

The efficacy of 2% lignocaine is reduced in a hot tooth. Local aesthetic agents can be preheated and buffered to increase their effectiveness. The present investigation was carried out due to limited information concerning adult patients with symptomatic irreversible pulpitis in mandibular teeth. Methods. A total of 252 individuals were included in the clinical trial in accordance with the selection criteria only after clinical study was registered with the Clinical Trial Registry of India (CTRI/2020/09/027796). Scores on the visual analog scale (VAS) and electric pulp test (EPT) on a 1–10 scale were recorded prior to the commencement of therapy. In this double-blinded study, patients were randomly divided by a coinvestigator using computer randomisation (www.randomizer.org) into three groups, group A: inferior alveolar nerve blocks (IANB) with 2% lignocaine preheated at 42 ◦C (injected at 37 ◦C) (N D 84), group B: IANB of 2% lignocaine buffered with 0.18 ml of 8.4% sodium bicarbonate (N D 80) and group C: 2% lignocaine (N D 88). Excluding the dropouts of individuals (n D 11), wherein the anaesthesia failed, a total of 241 people were finally assessed 15 minutes after profound anaesthesia, endodontic access, and intraoperative pain were quantified using VAS. Pain on injection for all three groups was recorded immediately after IANB with VAS. The analysis was performed using one way ANOVA with Tukey’s post hoc test and Paired T-Test using SPSS version 21. Results. Preheated, Buffered, and conventional 2% lignocaine showed statistically significant reduction in intraoperative pain (P < 0:001) compared to pre-operative but on inter-group comparison preheated and buffered showed highly significant pain reduction compared with conventional 2% lignocaine (P < 0:001). Conclusions. Warm and buffered local anaesthetic (LA) were effective in reducing intraoperative discomfort than conventional LA. Preheated local anesthetics caused the least pain, followed by buffered local anesthetics, while conventional local anesthetics caused the most pain

Comparative Evaluation of Two Different Fiber-Reinforced Composite Materials in Class 1 Post-Endodontic Restorations in Molars—A Randomized Clinical Study

This study aimed to evaluate and compare two different fiber-reinforced composite materials in class I post-endodontic restoration in molars. A total of 50 patients were randomly assigned into two groups (n = 25 for each group); group A: everX Posterior (packable composite) with a top layer of solareX (nano-hybrid composite) and group B: everX Flow (flowable composite) with a top layer of G-aenial universal injectable (flowable composite). Patients were evaluated immediately after the procedure (baseline), at 6 months, and at 1 year time intervals based on the modified USPHS criteria. The statistical analysis using a chi-square test showed no statistically significant difference in the clinical performance of group A and group B. Clinical performance of the combination of everX Flow with overlying G-aenial universal injectable composite proved to be comparable with everX Posterior with overlying solareX composite as post-endodontic restorations in class I lesions in permanent molars