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Dasmahapatra, Sibsankar
- A Blind Stick Assisting Blind Person to Detect Obstacle Ahead and to Alert the User
Abstract Views :593 |
PDF Views:245
Authors
Affiliations
1 Department of Mechanical Engineering, Kalyani Government Engineering College, Kalyani - 741235, IN
1 Department of Mechanical Engineering, Kalyani Government Engineering College, Kalyani - 741235, IN
Source
Reason-A Technical Journal (Formerly Reason-A Technical Magazine), Vol 19 (2020), Pagination: 16-25Abstract
In today's world where man has reached Mars, technology is helping them grow stronger with time. Normal persons get the most advantage but the disabled are also not left much behind. Today there are advancements for the disabled persons too. This study has dealt with making a blind stick which will assist a visually blind person to detect the possible obstacles ahead and to alert the user timely.The system consists of a micro-controller, a buzzer and four sensors, namely ultrasonic sensor, !ame sensor, water sensor and LDR. All the sensors collect value and send it to the micro-controller. The ultrasonic sensor triggers a pulse for 10 micro seconds and then reads the sound wave travel time in microseconds to the Arduino-Nano. Using this time, it calculates the distance of any obstacle if present in front. When no obstacle is found within 1.4m range, it keeps on beeping normally, but as soon the obstacle crosses the limit and the user approaches close to it, it starts beeping faster. Similarly, the "re sensor reads of "re is present ahead. When encountered it reads the reading through the IR sensor and the value is then compared to a reference value set. If found more that means it can be dangerous and thus alerts the user. Similarly, the water sensor receives value from sensor and when senses danger comparing the value alerts the user.The developed prototype was made using simple things and turns out under the cost of Rs.300/- thus making it highly affordable.Keywords
Blind Stick, Active Sensor, Passive Sensor, Arduino-Nano, Obstacle.Full Text
References
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- Dasmahapatra, S., Saha, R., Mookherjee, S. and Sanyal, D., Designing an Input- Linearized Adaptive Sliding Mode Coupled Nonlinear Integral Cont rol ler, IEEE/ ASME Trans. Mechatronics, Vol. 23, pp.2888-2895, 2018.
- Dasmahapatra, S., Saha, R., Sanyal, D., Sengupta, A. and Bhattacharyya, U., Adaptive PID Control for Angular Motion Tracking by Linear Electrohydraulic Actuation, Proceedings of IEEE First International Conference on PEICES, July 4-6, 2016, New Delhi, India, 2016.
- Dasmahapatra, S., Mandal, P., Saha, R., Mookherjee, S. and Sanyal, D., Comparison of Fuzzy Control and Sliding Mode Control in RealTime Tracking of Rugged Electrohydraulic System, Proceedings of the 40th National Conference on FMFP, December 12-14, 2013, NIT Hamirpur, Himachal Pradesh, India, 2013.
- Dasmahapatra, S., Saha, R., Sanyal, D., Sengupta, A., Bhattacharyya, U. and Sanyal, S., Designing Low-Chattering Sliding Mode Controller for an Electrohydraulic System, Proceedings of IEEE First Internat ional Conference on CMI, January 8-10, 2016, Jadavpur University, Kolkata, India, 2016.
- Dasmahapatra, S., Saha, R., Chatterjee, A., Mookherjee, S. and Sanyal, D., Design of an Adaptive-Fuzzy-Bias-SMC and Validation for a Rugged Electrohydraulic System, IEEE/ ASME Trans. Mechatronics, Vol.20, pp.2708-2715, 2015.
- Abrasive Jet Drilling of Hard Alumina Flat: An Experimental Investigation and Predictive Modeling by ANN
Abstract Views :60 |
PDF Views:0
Authors
Deb Kumar Adak
1,
Prosenjit Dutta
2,
Barun Haldar
3,
Santanu Das
2,
Naser Abdulrahman Alsaleh
3,
Sibsankar Dasmahapatra
2
Affiliations
1 College of Engineering and Management, Kolaghat, Purba Medinipur, West Bengal Kalyani Government Engineering College, Kalyani, West Bengal, IN
2 Kalyani Government Engineering College, Kalyani, West Bengal, IN
3 College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, SA
1 College of Engineering and Management, Kolaghat, Purba Medinipur, West Bengal Kalyani Government Engineering College, Kalyani, West Bengal, IN
2 Kalyani Government Engineering College, Kalyani, West Bengal, IN
3 College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, SA
Source
Manufacturing Technology Today, Vol 21, No 11-12 (2022), Pagination: 11 - 24Abstract
Abrasive jet machining (AJM) is often applied in drilling of hard and brittle ceramic materials, and is also used for other processes like surface preparation, deburring, shot-peening, polishing, etc. AJM process parameters need be appropriately selected to have optimized responses like MRR, nozzle wear, etc. Experimental investigation is performed in this work by precisely controlling abrasive flow rate. Along with system pressure, abrasive flow rate, stand-off distance (SOD) and grain size are considered during performing AJM with silicon carbide abrasive on commercially pure 4 mm thick alumina tiles using response surface methodology (RSM). Analysis of variance is done to detect the relative significance of each of the variables. Artificial neural network (ANN) is constructed to estimate the response in AJM based on input parameters. Estimation of machining performance is effectively carried out by ANN based on the training data with less than 8% estimation error, particularly for MRR and NWR.Keywords
Abrasive Jet Machining (AJM), Alumina, Drilling, ANN, Estimation
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