Thermoelectric Cell Produced from AA1100 Aluminium Alloy Coating on Metakaolin by Friction Surfacing Process

2019 ◽  
Vol 947 ◽  
pp. 130-134
Author(s):  
Dhammasook Mingmuang ◽  
Sukangkana Talangkun ◽  
Supasit Paengson ◽  
Tosawat Seetawan
Keyword(s):  
Aluminium Alloy ◽  
Cell Voltage ◽  
Electrical Current ◽  
Alloy Coating ◽  
Metal Electrode ◽  
Ceramic Substrate ◽  
Maximum Temperature ◽  
Cnc Milling ◽  
Friction Surfacing ◽  
Cnc Milling Machine

The objective of this article was to demonstrate the alternative method to produce the metal electrode on ceramic substrate. AA1100 aluminium alloy was thin-coated on alumina substrate by friction surfacing using a CNC milling machine. The properties of the coating layer were presented. After that, the coated ceramic substrate was connected to a thermoelectric material and used as thermoelectric electrode of the thermoelectric cell. Voltage, differential temperature and electrical current were measured. Power and efficiency of the thermoelectric cell were calculated. The maximum temperature at hot side of the thermoelectric cell was 171.48 °C. At this temperature, the voltage was 0.00027 mV and the power was 0.000655 W. Efficiency of the fabricated thermoelectric cell was 4.715 x 10-7.

Application of Taguchi and Response Surface Methodologies for Surface Roughness in Rotary Tool Polishing Hardness Mould Steels

2011 ◽  
Vol 87 ◽  
pp. 82-89
Author(s):  
Potejanasak Potejana ◽  
Chakthong Thongchattu
Keyword(s):  
Surface Roughness ◽  
Response Surface ◽  
Laser Scanning ◽  
Cutting Speed ◽  
Optimal Level ◽  
Confocal Laser ◽  
Milling Machine ◽  
Cnc Milling ◽  
Polishing Process ◽  
Cnc Milling Machine

This research proposes a new application of 3-axis CNC milling machine for polishing the 60 HRC hardness steels. The rotary polishing tools are designed by refer to the end-mill ball nose’s design. The diamond powder are coated in rotary polishing tools by resinoid bonding method and concentrated in 4.4 karat/cm2. The Zig-milling tool paths are used to polish the hardness steel. After polishing, the confocal laser scanning microscope is used to analyze the arithmetic mean surface roughness of the hardness steels. The L12 orthogonal array of the Taguchi’s method is selected to conduct the matrix experiment to determine the optimal polishing process parameters. The diamond grit size and cutting speed of the rotary polishing tools, feed rate and step over of the tool path, the depth of polishing process penetration, and polishing time are used to study. The combination of the optimal level for each factor of the hardness steel polishing process are used to study again in the confirmation experiment. The predicted signal to noise ratio of smaller - the better under optimal condition are calculated by using the data from the experiment. The combination of the optimal level for each factor are used to study again in the confirmation experiment and the result show that polishing time was a dominant parameter for the surface roughness and the next was depth of penetration. The response surface design is then used to build the relationship between the input parameters and output responses. The experimental results show that the integrated approach does indeed find the optimal parameters that result in very good output responses in the rotary polishing tools polished hardness mould steel using CNC milling machine. The mean surface roughness of hardness steel polishing process is improved by the diamond rotary tools with the 3-axis CNC milling machine.

scholarly journals Optimizing the Grinding Parameters on the CNC Milling Machine for Best Glass Edge Quality

2021 ◽  
Vol 1885 (3) ◽  
pp. 032069
Author(s):  
Xiaoyu Li ◽  
Minbo Wang ◽  
Liangbao Jiang ◽  
Jiaxi Liu ◽  
Jiaming Li ◽  
...  
Keyword(s):  
Milling Machine ◽  
Cnc Milling ◽  
Cnc Milling Machine ◽  
Grinding Parameters ◽  
Edge Quality ◽  
Glass Edge

scholarly journals Development of CNC Milling Machine for Small Scale Industry

2021 ◽  
Vol 1068 (1) ◽  
pp. 012017
Author(s):  
Wasis Nugroho ◽  
Damhuji Rifai ◽  
Aminul Hakim Embong ◽  
Kamarul Adnan Abd Aziz ◽  
Ahmad Siraji Embong ◽  
...  
Keyword(s):  
Small Scale ◽  
Milling Machine ◽  
Cnc Milling ◽  
Cnc Milling Machine ◽  
Small Scale Industry

Principles of Computer Numerical Control Applied to Small Research Animal Surgical Procedures

2018 ◽  
Author(s):  
Matthew Rynes ◽  
Leila Ghanbari ◽  
Jay Jia Hu ◽  
Daniel Sousa Schulman ◽  
Gregory Johnson ◽  
...  
Keyword(s):  
Numerical Control ◽  
Cnc Milling ◽  
Surface Profiling ◽  
Cnc Milling Machine ◽  
Milling Operations ◽  
Tissue Removal ◽  
Removal Processes ◽  
Cranial Implants ◽  
Tools And Techniques

The tools and techniques available for systems neuroscientists for neural recording and stimulation during behavior have become plentiful in the last decade. The tools for implementing these techniques in vivo, however, have not advanced respectively. The use of these techniques requires the removal of sections of skull tissue without damaging the underlying tissue, which is a very delicate procedure requiring significant training. Automating a part of the tissue removal processes would potentially enable more precise procedures to be performed, and it could democratize these procedres for widespread adoption by neuroscience lab groups. Here, we describe the ‘Craniobot’, a microsurgery platform that combines automated skull surface profiling with a computer numerical controlled (CNC) milling machine to perform a variety of microsurgical procedures in mice. Surface profiling by the Craniobot has micrometer precision, and the surface profiling information can be used to perform milling operations with relatively quick, allowing high throughput. We have used the Craniobot to perform skull thinning, small to large craniotomies, as well as drilling pilot holes for anchoring cranial implants. The Craniobot is implemented using open source and customizable machining practices and can be built with of the shelf parts for under $1000.

Determination of Technological Forces in the Incremental Forming Process

2013 ◽  
Vol 371 ◽  
pp. 133-137
Author(s):  
Radu Eugen Breaz ◽  
Melania Tera ◽  
Octavian Bologa ◽  
Sever Gabriel Racz
Keyword(s):  
Image Processing ◽  
Theoretical Model ◽  
Data Acquisition ◽  
Incremental Forming ◽  
Single Point ◽  
Cnc Milling ◽  
Forming Process ◽  
Feed Drive ◽  
Cnc Milling Machine

The paper presents a joint theoretical and experimental approach to determine the technological forces within the asymmetric single point incremental forming ASPIF process, based upon a theoretical model, image processing and data acquisition. The first step of this approach was to develop a theoretical model of the forces within the process, based upon the model of a mechanical feed drive of a CNC milling machine. By means of this model, relationships between the resistant torque at the motor spindle level and the technological force on the movement axis could be determined. Using an image processing method, which allowed the user to extract information within the machines operator panel and analytical relationships, the technological forces were determined. The results were compared with the measured values, obtained by means of a data acquisition system.

Optimal Rough Machining of Sculptured Parts on a CNC Milling Machine

1993 ◽  
Vol 115 (4) ◽  
pp. 424-431 ◽  
Author(s):  
Z. Dong ◽  
H. Li ◽  
G. W. Vickers
Keyword(s):  
Production Costs ◽  
Depth Of Cut ◽  
Cnc Milling ◽  
Rough Machining ◽  
Machining Time ◽  
Tool Paths ◽  
Cnc Milling Machine ◽  
Cnc Programming ◽  
Sculptured Parts ◽  
Optimal Approach

An optimal approach to the rough machining of sculptured parts with least machining time is presented. The contour map cutting method is used to generate CNC tool paths based on the CAD model of sculptured parts. The part and stock geometry related parameters, including the number of cutting layers and the distributions of cutting depth, and the process parameters of feed rate and depth of cut, are optimized. The method can automate CNC programming for sculptured part rough machining, considerably improve productivity, and lower production costs. Two examples are used to illustrate the approach and its advantages.

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