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        Simultaneous Parametric Optimization of IPMC Actuator for Compliant Gripper

        Srijan Bhattacharya,Ritwik Chattaraj,Mallar Das,Arindam Patra,Bikash Bepari,Subhasis Bhaumik 한국정밀공학회 2015 International Journal of Precision Engineering and Vol. No.

        Ionic Polymer Metal Composite (IPMC) exhibits artificial muscle behavior while subjected to change in voltage, frequency and doping solutions. Here, an attempt has been made to actuate a miniscule compliant gripper by a pair of IPMC strips. To obtain substantial displacement and force to actuate the compliant gripper, a full factorial experimental layout was laid by considering three levels of voltage (1.5 V-3 V-4.5 V), frequencies (0.1 Hz-0.01 Hz-0.001 Hz) and doping solutions (KCl, NaCl and Distilled Water). Grey Relational Analysis was adopted to turn multi-objectives (force and displacement) into a single objective and the best parametric combination was found as ds-1-f+1-v+1 [KCl 1.5 (N)-0.001 Hz-4.5 V]. Response Surface Modeling (RSM) and ANOVA was adopted to correlate the force and displacement in terms of the process parameters (Voltage and Frequency). At the optimized parametric condition, IPMC strips provided actuating force and displacement of 4.8 mN and 3.24 mm respectively. A small compliant two-jaw gripper was modeled in CATIA V5-R20 and through ANSYS 14.0, it was observed that, at 1.5 mm gripper thickness, each jaw-tip flexed by 1.56 mm. Afterwards, the gripper was fabricated with PDMS material and IMPCs were able to flex each jaw by 0.87 mm. The gripper was observed to grip objects with maximum of 1.247 gms of weight.

      • KCI등재

        Dynamics and risk assessment of SARS-CoV-2 in urban areas: a geographical assessment on Kolkata Municipal Corporation, India

        Paul Suman,Bhattacharya Subhasis,Mandal Buddhadev,Haldar Subrata,Mandal Somnath,Kundu Sanjit,Biswas Anupam 대한공간정보학회 2021 Spatial Information Research Vol.29 No.3

        SARS-CoV-2 has been transmitted and outbreak took place in India during the last week before nationwide 1st lockdown took place. Urban areas found more vulnerable and reported nearly 65% of cases during every phase of lockdown. Mumbai, among four metropolitan cities found huge number of containment zones with nearly 30% of SARS-CoV-2 cases indicating clustering of cases. Most of the containment zones of SARS-CoV-2 cases in Kolkata Municipal Corporation found a significant relation with slum areas. The study primarily tries considering the nature of SARS-CoV-2 cases in different urban centres with the help of cartographic techniques. AHP method has been used to determine the factors responsible for such concentration of SARS-CoV-2 cases with vulnerability assessment (exposure, sensitivity and resilience) and risks. Before nationwide lockdown starts, the share of urban centres found 25% which has been transformed into nearly 60% at the end of 3rd phase of lockdown. Growth rate of SARS-CoV-2 cases found very high for Chennai and Thane with less number of doubling time to nation. Slum concentration and containment density shows a higher degree of correlation in Kolkata Municipal Corporation. Risk map also shows the concentration of cases in central and north Kolkata with higher degree of diseases exposure and sensitivity. Control measures must be taken by the central and state Government to minimise the transmission rate of SARS-CoV-2 mainly urban areas. As urban area contributing a higher share of SARS-CoV-2 cases, a proper management plan must be enforce.

      • KCI등재

        Tourism in retrospect of COVID-19 on global perspective using analytical hierarchy process

        Saha Jayanta,Haldar Subrata,Bhattacharya Subhasis,Paul Suman 대한공간정보학회 2021 Spatial Information Research Vol.29 No.6

        Covid-19 pandemic has brought remarkable shocks over tourism globally. In case of tourism such experience of epidemic is quite new in terms of time gestation. Even world agencies cannot estimate the amount of loss and fails to predict the full pace running stage of the sector. The study tries to estimate the impact of pandemic over the tourism. Rather than these, the main aspect of the study is to formulate a rank resulted by tourism impact of the studied countries over its economics considering the variables like GDP share of tourism and number of tourist arrivals (2017, 2018 and 2019), tourism dependency rate, tourism competitive index, jobs directly depends on tourism and contribution of tourism in terms of international receipts. The study uses Analytical Hierarchical Process to estimate the impact of Covid-19 over tourism. Results shows the countries with higher dependencies over tourism severely affected and those results are in linearity.

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