Digital Embedding System with Heater and Cooler

Nur Hudha Wijaya, Budiman Anggi Lesmana, Nishith Shahu, Irfan Ahmad, Rachmad Andri Atmoko

Abstract


Embedding is an anatomical pathology laboratory device that is very important for producing quality slices and is also a device used to process paraffin tissue, so that the tissue can be cut with higher precision using a microtom (slicer). From the process of melting paraffin crystals using a manual heating process with bunsen flame heaters (fire heaters) so that the paraffin crystals can be transformed from the crystal into liquid. While paraffin crystals that have been processed from the crystal to liquid form are poured into the mold and left to freeze. In this case, an embedding system device will be made equipped with heating and cooling. The temperature used for the liquefaction process is 50C while the temperature for cooling is 17C. After making the process of making device, experiment device, and retrieving data, the error percentage results were 0.016% at the heating temperature and 0.08% at the coolant temperature, and the percentage of heating samples obtained in the sample was 61.3%, while the percentage samples for parts coolers get a value of 92%

Keywords


histopathology; embedding; temperature; microcontroller

Full Text:

PDF

References


Z. Liu, L. Chang, Z. Luo, and F. Ning, “Design of Vehicle-Mounted Medical Temperature Control System,” in 2016 Sixth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC), 2016, vol. 1, pp. 57–60.

L. Shuai, X. Wang, and S. Li, “Fuzzy PID Controller Design of Air Handling Unit for Constant Temperature and Humidity Air-Conditioning,” in 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2016, vol. 02, pp. 410–414.

V. Radu, A. Avram, V. Anghel, and G. Brezeanu, “Autotuned PID for accurate temperature control — A hot approach,” in 2016 International Semiconductor Conference (CAS), 2016, vol. 2016-Decem, pp. 209–212.

A. Xhafa, P. Tuset-Peiro, and X. Vilaiosana, “Live demonstration: Wireless PID control of a thermal process using an ultra-low cost LWIR camera,” in 2017 IEEE SENSORS, 2017, vol. 2017-Decem, pp. 1–1.

K. Janprom, S. Wangnippanto, and W. Permpoonsinsup, “Embedded control system with PID controller for comfortable room,” in 2017 International Electrical Engineering Congress (iEECON), 2017, no. March, pp. 1–4.

Y. Han, Q. Li, H. Yang, and W. Chen, “Design optimal temperature control system based on effective informed adaptive particle swarm optimization for proton exchange membrane fuel cell,” in 2016 35th Chinese Control Conference (CCC), 2016, pp. 8562–8566.

R. G. Datar, D. S. More, and S. S. Kamble, “Performance Evaluation of Model-based Controllers for Data-driven Models of Temperature Control System employing Embedded Platform,” in 2018 International Conference on Computing, Power and Communication Technologies (GUCON), 2018, pp. 913–918.

J. S. Hernandez, R. Rivas-Perez, and J. J. S. Moriano, “Model Reference Adaptive Temperature Control of a Rotary Cement Kiln,” in 2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA), 2018, pp. 1–4.

Y. Cao, C. Zhong, and K. Qiu, “Design and Experiment about Temperature Control System of Sealing Machine Based on Fuzzy PID,” in 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2016, vol. 2, pp. 308–311.

Y. Qiao et al., “Application of Improved Intelligent PID Algorithm in High Precision Thermostatic Control in Trace Water Analyzer,” in 2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2018, pp. 440–447.

W. Jiang, Y. Liu, and J. Han, “The design of the all-coefficient adaptive temperature controller based on characteristic model,” in 2017 36th Chinese Control Conference (CCC), 2017, pp. 6547–6551.

L. Jingjie, Y. Dongmei, Z. Ruiyi, and Z. Hui, “A humidity control system based on T&H-decoupling and PID self-tuning fuzzy algorithm,” in 2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI), 2017, pp. 16–21.

C.-C. Tsai and C.-T. Tsai, “Digital command feedforward and PID temperature control for PET stretch blow molding machines,” in 2017 11th Asian Control Conference (ASCC), 2017, vol. 2018-Janua, pp. 1128–1133.

M. Li, J. Wei, and T. Shen, “Temperature and humidity decoupling control for enthalpy difference Laboratory,” in 2018 Chinese Automation Congress (CAC), 2018, pp. 1174–1178.

R. DU, Q. Chen, and C. Chen, “A Heuristic Control Method for Heating System,” in 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 2018, vol. 2018-Novem, pp. 1–4.

C. Deng and Z. Wang, “Self-Learning Fuzzy Algorithm Optimized Temperature Control and Efficiency Monitoring of Heat Exchanger,” in 2018 37th Chinese Control Conference (CCC), 2018, vol. 2018-July, no. 3, pp. 3394–3399.

L. Zhengxin and Z. Yue, “Application of Fuzzy Control Based on Time Series Prediction Algorithm in Main Steam Temperature System,” in 2018 Chinese Automation Congress (CAC), 2018, pp. 116–121.

K. A. Tapia Pantoja and D. F. Coral, “Temperature Controller for a Nanoparticle Synthesis System,” in 2018 IEEE ANDESCON, 2018, vol. 00287, no. 2, pp. 1–3.

Y. Sanjaya, A. Fauzi, D. Edikresnha, M. M. Munir, and Khairurrijal, “Air temperature regulation in a chamber for rotary forcespinning,” in 2016 International Seminar on Sensors, Instrumentation, Measurement and Metrology (ISSIMM), 2016, pp. 28–31.

L. Jingyun and L. Ping, “Temperature and humidity control with a model predictive control method in the air-conditioning system,” in 2017 International Conference on Advanced Mechatronic Systems (ICAMechS), 2017, vol. 2017-Decem, pp. 408–412.

M. W. Hariyanto, A. H. Hendrawan, and R. Ritzkal, “Monitoring the Environmental Temperature of the Arduino Assistance Engineering Faculty Using Telegram,” J. Robot. Control, vol. 1, no. 3, pp. 96–101, 2020.

L. Yu and G. Dai, “Configuration design method of switched thermal power superheated steam temperature control system,” in 2016 Chinese Control and Decision Conference (CCDC), 2016, pp. 2268–2272.

I. Prasojo, A. Maseleno, O. Tanane, and N. Shahu, “Design of Automatic Watering System Based on Arduino,” J. Robot. Control, vol. 1, no. 2, pp. 55–58, 2020.

H. Huang, S. Fu, P. Zhang, and L. Sun, “Design of a Small Temperature Control System Based on TEC,” in 2016 9th International Symposium on Computational Intelligence and Design (ISCID), 2016, vol. 1, pp. 193–196.

S. Bhujbal, A. Andhale, A. Deshpande, and S. Pimpalnerkar, “Implementation of control algorithm for furnace temperature control in CFD simulation,” in 2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT), 2016, pp. 110–113.

B. Doicin, M. Popescu, and C. Patrascioiu, “PID Controller optimal tuning,” in 2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2016, pp. 1–4.

G. Rata and M. Rata, “Temperature control solution with PLC,” in 2016 International Conference and Exposition on Electrical and Power Engineering (EPE), 2016, no. Epe, pp. 571–575.




DOI: https://doi.org/10.18196/jrc.2371

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Journal of Robotics and Control (JRC)

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 

Journal of Robotics and Control (JRC)

P-ISSN: 2715-5056 || E-ISSN: 2715-5072
Organized by Peneliti Teknologi Teknik Indonesia
Published by Universitas Muhammadiyah Yogyakarta in collaboration with Peneliti Teknologi Teknik Indonesia, Indonesia and the Department of Electrical Engineering
Website: http://journal.umy.ac.id/index.php/jrc
Email: jrcofumy@gmail.com

Kuliah Teknik Elektro Terbaik