Low-Cost Sensor Fusion Technique for Surface Roughness Discrimination With Optical and Piezoelectric Sensors

Omnidirectional mobile robot has gained popularity among researchers. However, omnidirectional mobile robot is rarely been applied in industry field especially in the factory which is relatively more dynamic than normal research setting condition. Hence, it is very important to have a stable yet reliable feedback system to allow a more efficient and better performance controller on the robot. In order to ensure the reliability of the robot, many of the researchers use high cost solution in the feedback of the robot. For example, there are researchers use global camera as feedback. This solution has increases the cost of the robot setup fee to a relatively high amount. The setup system is also hard to modify and lack of flexibility. In this paper, a novel sensor fusion technique is proposed and the result is discussed.

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Sensor fusion system to estimate the trajectory of a low cost mobile robotic platform using an Inertial Measurement Unit

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/138/1/012005 ◽

2016 ◽

Vol 138 ◽

pp. 012005

Author(s):

J.-S. Botero V. ◽

M. Rico G. ◽

J.-P. Villegas C

Keyword(s):

Sensor Fusion ◽

Inertial Measurement Unit ◽

Low Cost ◽

Measurement Unit ◽

Fusion System ◽

Robotic Platform ◽

Inertial Measurement

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Implementation of A low-cost multi-IMU hardware by using a homogenous multi-sensor fusion

2016 4th International Conference on Control, Instrumentation, and Automation (ICCIA) ◽

10.1109/icciautom.2016.7483205 ◽

2016 ◽

Cited By ~ 2

Author(s):

Raouf Rasoulzadeh ◽

Alireza Mohammad Shahri

Keyword(s):

Sensor Fusion ◽

Low Cost

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Partial Discharge Monitoring in Power Transformers Using Low-Cost Piezoelectric Sensors

Sensors ◽

10.3390/s16081266 ◽

2016 ◽

Vol 16 (8) ◽

pp. 1266 ◽

Cited By ~ 25

Author(s):

Bruno Castro ◽

Guilherme Clerice ◽

Caio Ramos ◽

André Andreoli ◽

Fabricio Baptista ◽

...

Keyword(s):

Low Cost ◽

Partial Discharge ◽

Piezoelectric Sensors ◽

Power Transformers ◽

Discharge Monitoring

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PENGARUH SPUTTERING TiN TERHADAP KEKASARAN, KEKERASAN PERMUKAAN MATERIAL AISI316L

Jurnal Poli-Teknologi ◽

10.32722/pt.v18i3.2412 ◽

2019 ◽

Vol 18 (3) ◽

pp. 331-338

Author(s):

Jemssy Ronald Rohi ◽

Priyo Tri Iswanto ◽

Tjipto Sujitno ◽

Erich Umbu Kondi

Keyword(s):

Mechanical Properties ◽

Surface Roughness ◽

Corrosion Resistance ◽

Deposition Time ◽

Low Cost ◽

Surface Hardness ◽

The Body ◽

Aisi 316L ◽

Good Corrosion Resistance ◽

Long Time

AISI 316L is widely used for implantation in orthopedic surgery due to its good corrosion resistance, mechanical properties and low cost. However, AISI 316L is not well suited for biocompatibility with the body, so implant material with AISI 316L can’t be used for a long time. One way to improve the corrosion resistance and mechanical properties of AISI 316L is to perform a surface treatment such as sputtering. This study discusses the effect of deposition sputtering TiN of 60, 90, 120 and 150 minutes on roughness and surface hardness at a ratio of argon gas and nitrogen to 80% Ar:20% N2. The results of the surface roughness value of the TiN sputtering layer deposited to AISI 316L for 60, 90, 120, and 150 minutes were 0.02 μm, 0.04 μm, 0.06 μm, and 0.04 μm respectively. This shows that the coating time of TiN in AISI 316L has no significant influence on value of surface roughness. Surface hardness results at 60, 90, 120, and 150 minutes were obtained with 268 HVN, 275 HVN, 278 HVN and 282 HVN. Increased hardness value, as the TiN thin layer has a higher hardness value compared to AISI 316L. The longer the deposition time, the more layers are formed and the layer becomes thicker. With the thickness of the layer, the density at the grain boundary increases. Because the higher density leads to grain growth, in which form micropores.

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Photogrammetry-based Texture Analysis of a Volcaniclastic Outcrop-peel: Low-cost Alternative to TLS and Automation Potentialities using Haar Wavelet and Spatial-Analysis Algorithms

Forum Geografi ◽

10.23917/forgeo.v31i1.3977 ◽

2017 ◽

Vol 31 (1) ◽

pp. 16-27 ◽

Cited By ~ 2

Author(s):

Christopher Gomez ◽

Kyoko Kataoka ◽

Aditya Saputra ◽

Patrick Wassmer ◽

Atsushi Urabe ◽

...

Keyword(s):

Surface Roughness ◽

Wavelet Decomposition ◽

Low Cost ◽

Decomposition Analysis ◽

Haar Wavelet ◽

Present Contribution ◽

Close Range Photogrammetry ◽

Original Goal ◽

Close Range ◽

Made In

Numerous progress has been made in the field of applied photogrammetry in the last decade, including the usage of close-range photogrammetry as a mean of conservation and record of outcrops. In the present contribution, we use the SfM-MVS method combined with a wavelet decomposition analysis of the surface, in order to relate it to morphological and surface roughness data. The results demonstrated that wavelet decomposition and RMS could provide a rapid insight on the location of coarser materials and individual outliers, while arithmetic surface roughness were more useful to detect units or layers that are similar on the outcrop. The method also emphasizes the fact that the automation of the process does not allows clear distinction between any artefact crack or surface change and that human supervision is still essential despite the original goal of automating the outcrop surface analysis.

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Low Cost Vibration Measurement and Optimization during Turning Process

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1148.103 ◽

2018 ◽

Vol 1148 ◽

pp. 103-108 ◽

Cited By ~ 1

Author(s):

N.V.S. Shankar ◽

A. Gopi Chand ◽

K. Hanumantha Rao ◽

K. Prem Sai

Keyword(s):

Surface Roughness ◽

Cutting Tool ◽

Low Cost ◽

Machining Process ◽

Vibration Measurement ◽

Depth Of Cut ◽

Turning Process ◽

Taguchi Analysis ◽

Series Of Experiments

During machining any material, vibrations play a major role in deciding the life of the cutting tool as well as machine tool. The magnitude acceleration of vibrations is directly proportional to the cutting forces. In other words, if we are able to measure the acceleration experienced by the tool during machining, we can get a sense of force. There are many commercially available, pre-calibrated accelerometer sensors available off the shelf. In the current work, an attempt has been made to measure vibrations using ADXL335 accelerometer. This accelerometer is interfaced to computer using Arduino. The measured values are then used to optimize the machining process. Experiments are performed on Brass. During machining, it is better to have lower acceleration values. Thus, the first objective of the work is to minimize the vibrations. Surface roughness is another major factor which criterion “lower is the better” applies. In order to optimize the values, a series of experiments are conducted with three factors, namely, tool type (2 levels), Depth of cut (3 levels) and Feed are considered (3 levels). Mixed level optimization is performed using Taguchi analysis with L18 orthogonal array. Detailed discussion of the parameters shall be given in the article.

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