Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2
Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2
Nakagami-m Fading Detection with Eigen Value Spectrum Algorithms
Volume-3 | Issue-2
Abstractive Summarization System
Volume-3 | Issue-4
Design of Adaptive Estimator for Nonlinear control system in Noisy Domain
Volume-3 | Issue-3
Automated Nanopackaging using Cellulose Fibers Composition with Feasibility in SEM Environment
Volume-3 | Issue-2
Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3
Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3
A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4
EL DAPP - An Electricity Meter Tracking Decentralized Application
Volume-2 | Issue-1
SMART STREET SYSTEM WITH IOT BASED STREET LIGHT OPERATION AND PARKING APPLICATION
Volume-1 | Issue-1
ENERGY AND POWER EFFICIENT SYSTEM ON CHIP WITH NANOSHEET FET
Volume-1 | Issue-1
Abstractive Summarization System
Volume-3 | Issue-4
A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4
MIMO BASED HIGH SPEED OPTICAL FIBER COMMUNICATION SYSTEM
Volume-1 | Issue-2
Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2
Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3
Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3
VIRTUAL REALITY SIMULATION AS THERAPY FOR POSTTRAUMATIC STRESS DISORDER (PTSD)
Volume-1 | Issue-1
Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2
Volume - 5 | Issue - 3 | september 2023
Published
02 November, 2023
The widespread adoption of autonomous vehicles continues to increase along with various scientific and technological advancements, and this is necessitating the application of essential accident prevention measures. This research presents the design and development of an innovative hydraulic braking system utilizing readily available components and materials. The Pascal’s law of pressure is very applicable in modern hydraulic braking mechanisms. The system employs an ultrasonic sensor, a repurposed disk, a motor, and a solenoid lock controlled by a relay to create an effective braking mechanism. The primary objective of this research is to demonstrate the feasibility of constructing a functional braking system based on Pascal’s law of pressure, using locally sourced materials, catering to resource-constrained environments. The proposed hydraulic braking system functions as follows: when the ultrasonic sensor detects an object within its proximity (approximately 20 centimeters), it triggers the relay, which activates the solenoid lock. The solenoid lock's action initiates the movement of a syringe compressor, exerting pressure on the hydraulic fluid. This pressure is then transmitted to the repurposed DVD (Digital Versatile Disk), which serves as the braking element. As the disk is pressed against a surface, the resulting friction decelerates the system, effectively applying the brake. Finally, data is evaluated in the IoT (Internet of Things) platform ThingSpeak to identify safe and harmful states.
KeywordsPascal’s law Hydraulic brake IoT ThingSpeak Esp32
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