scholarly journals Pengembangan Alat Praktikum Tumbukan Menggunakan Mikrokontroler, Sensor Ultrasonik, dan Lintasan Air Track

2021 ◽  
Vol 3 (2) ◽  
pp. 85-94
Author(s):  
Khaerul Umam ◽  
Hartono Hartono ◽  
Sulhadi Sulhadi
Keyword(s):  
Relative Error ◽  
Ultrasonic Sensor ◽  
Measurement Process ◽  
Distance Data

Momentum is one of the physics topics that students can better understand with practical activities. The problem found in using the ticker timer as a speed gauge in the collision practicum is that the measurement process interferes with the system being measured. This research develops a collision practicum tool using a microcontroller and ultrasonic sensor as a distance recorder. The glide track used is an air track. Based on the research conducted, it can be concluded that the collision practicum tool with a microcontroller and a glide track in the form of an air track can work well. The distance recorder or DRD is capable of recording distances every 0.2 seconds. The ultrasonic sensor as a gauge has an accuracy of 99.6% and a relative error of 0.56% for sensor 1. Meanwhile, sensor 2 has an accuracy of 99% and a relative error of 0.85%. Through the distance data obtained, it is possible to obtain an increase in momentum before and before the collision.

Unmanned Vehicle Obstacle Avoidance Using Single Sensor Scan Method and Danger Zone Estimation

2013 ◽  
Vol 284-287 ◽  
pp. 1976-1980
Author(s):  
Tz Jian Lin ◽  
Ta Chung Wang
Keyword(s):  
Obstacle Avoidance ◽  
Relative Velocity ◽  
Unmanned Vehicles ◽  
Ultrasonic Sensor ◽  
Servo Motor ◽  
Danger Zone ◽  
Unmanned Vehicle ◽  
Time Period ◽  
Single Sensor ◽  
Distance Data

This paper proposes an obstacle avoidance algorithm for unmanned vehicles in unknown environment by a single sensor. The scan system is composed of an ultrasonic sensor and a servo motor which rotates from 0 to 180 degrees to obtain the distance data, and the profile of the obstacle can be depicted by a histogram which we use to find out the boundary of the obstacle. In this avoidance algorithm we will use the danger zone concept to judge whether the obstacle will cause a possible collision. The danger zone concept surrounds the vehicle by a sphere and uses the relative velocity to calculate the area in which obstacles will collide with the vehicle within a pre-specified time period. Combining the profile of the boundary of the obstacle with the danger zone concept, we can determine the maneuvers to avoid collisions.

Application of pyrometer and standard sample to determine surface temperature of studied materials

2019 ◽  
pp. 9-13
Author(s):  
V.Ya. Mendeleyev ◽  
V.A. Petrov ◽  
A.V. Yashin ◽  
A.I. Vangonen ◽  
O.K. Taganov
Keyword(s):  
Composite Material ◽  
Surface Temperature ◽  
Relative Error ◽  
Wavelength Range ◽  
Standard Sample ◽  
A Priori ◽  
Temperature Changes ◽  
Surface Temperatures ◽  
Relative Errors ◽  
Normal Emissivity

Determining the surface temperature of materials with unknown emissivity is studied. A method for determining the surface temperature using a standard sample of average spectral normal emissivity in the wavelength range of 1,65–1,80 μm and an industrially produced Metis M322 pyrometer operating in the same wavelength range. The surface temperature of studied samples of the composite material and platinum was determined experimentally from the temperature of a standard sample located on the studied surfaces. The relative error in determining the surface temperature of the studied materials, introduced by the proposed method, was calculated taking into account the temperatures of the platinum and the composite material, determined from the temperature of the standard sample located on the studied surfaces, and from the temperature of the studied surfaces in the absence of the standard sample. The relative errors thus obtained did not exceed 1,7 % for the composite material and 0,5% for the platinum at surface temperatures of about 973 K. It was also found that: the inaccuracy of a priori data on the emissivity of the standard sample in the range (–0,01; 0,01) relative to the average emissivity increases the relative error in determining the temperature of the composite material by 0,68 %, and the installation of a standard sample on the studied materials leads to temperature changes on the periphery of the surface not exceeding 0,47 % for composite material and 0,05 % for platinum.

Rancang Bangun Sistem Monitoring Pengukuran Volume Air Berbasis IoT Menggunakan Arduino Wemos

2020 ◽  
Vol 6 (2) ◽  
pp. 147-153
Author(s):  
Muhamad Yusup ◽  
Po. Abas Sunarya ◽  
Krisandi Aprilyanto
Keyword(s):  
Waste Water ◽  
Waste Water Treatment ◽  
Water Reservoir ◽  
Ultrasonic Sensor ◽  
Automated System ◽  
Volume Formula ◽  
Air Volume ◽  
Database Server ◽  
A Company ◽  
Height Data

System The process of counting and storing in a manual water reservoir analysis has a high percentage of error rate compared to an automated system. In a company industry, especially in the WWT (Waste Water Treatment) section, it has several reservoir tanks as stock which are still counted manually. The ultrasonic sensor is placed at the top of the WWT tank in a hanging position. Basically, to measure the volume in a tank only variable height is always changing. So by utilizing the function of the ultrasonic sensor and also the tube volume formula, the stored AIR volume can be monitored in real time based on IoT using the Blynk application. From the sensor, height data is obtained which then the formula is processed by Arduino Wemos and then information is sent to the MySQL database server via the WIFI network.

Development of MEMS Ultrasonic Sensor Using P(VDF/TrFE) Thin Films

2015 ◽  
Vol 135 (5) ◽  
pp. 145-151 ◽  
Author(s):  
Tsunehisa Tanaka ◽  
Shuichi Murakami ◽  
Mayumi Uno ◽  
Kaoru Yamashita
Keyword(s):  
Thin Films ◽  
Ultrasonic Sensor

Preparation and Characteristic Evaluation of Silica-agglomerate Electret with Ultra-thin PTFE Layer for Ultrasonic Sensor

2018 ◽  
Vol 138 (9) ◽  
pp. 441-447
Author(s):  
Kensuke Kageyama ◽  
Takeru Orikasa ◽  
Ahmad Zarif Afiq Bin Jamaludin ◽  
Takenobu Sakai
Keyword(s):  
Ultrasonic Sensor

Average Worn Profile of Tires in Europe

2014 ◽  
Vol 42 (3) ◽  
pp. 166-184 ◽  
Author(s):  
Frédéric Biesse ◽  
Jérôme Mahé ◽  
Nicolas Lévy
Keyword(s):  
End Of Life ◽  
Development Process ◽  
Measurement Process ◽  
European Countries ◽  
Analysis Method ◽  
Wear Performance ◽  
Usual Behavior ◽  
Wear Tests ◽  
Pattern Width

ABSTRACT Tire tread wear is a key issue in the tire development process and for tire customers. In order to measure the wear performance, tire manufacturers usually proceed to wear tests and calculate the tire life from those tests. An important point in this tire life computation is the criteria chosen for defining the tire's end of life. In Europe, there is a legal minimum tread depth set to 1.6 mm applicable to 75% of the tread pattern width. However, outside those 75% (i.e., on the shoulder part), no clear and shared limit is defined. Also, the usual behavior of customers to decide when their tires should be changed is not well known. The goal of this 2012 study was to identify an average worn profile of tires in Europe and the behavior of customers for replacing their tires. For that, 3000 tires worn out by customers have been collected in scrapyards and measured in five European countries. In this article, we will present the tire collecting method, the measurement process, the analysis method, and some general results and statistics on this 3000 tire database. Finally, the method to compute the average end of life profile and the resulting profile is given.

Alternate Trajectory Determination Using Multimode Automated Robotic Vehicle with Line Following and Object Following Mode

2018 ◽  
Vol 8 (3) ◽  
pp. 46
Author(s):  
Varun Kumar ◽  
Lakshya Gaur ◽  
Arvind Rehalia
Keyword(s):  
Ultrasonic Sensor ◽  
Robotic Assembly ◽  
Voltage Regulator ◽  
Automated Vehicle ◽  
Dc Motors ◽  
Arduino Uno ◽  
Robotic Vehicle ◽  
Line Following ◽  
Selection Of ◽  
Trajectory Determination

In this paper the authors have explained the development of robotic vehicle prepared by them, which operates autonomously and is not controlled by the users, except for selection of modes. The different modes of the automated vehicle are line following, object following and object avoidance with alternate trajectory determination. The complete robotic assembly is mounted on a chassis comprising of Arduino Uno, Servo motors, HC-SRO4 (Ultrasonic sensor), DC motors (Geared), L293D Motor Driver, IR proximity sensors, Voltage Regulator along with castor wheel and two normal wheels.

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