Multi-objective optimization of a threading machine for tobacco leaves

The threading of Turkish or Oriental tobacco leaves is part of the sun drying process prior to cigarette production. In Thailand, tobacco leaves tend to be threaded manually by farmers, resulting in low production capacity due to insufficient labor being available. Therefore, the aim of this researc...

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Main Authors: Ranaporn Senasutham, Sujin Bureerat, Juckamas Laohavanich, Cherdpong Chiawchanwattana, Suphan Yangyuen
Format: Article
Language:English
Published: Khon Kaen University 2022-03-01
Series:Engineering and Applied Science Research
Subjects:
Online Access:https://ph01.tci-thaijo.org/index.php/easr/article/download/245628/166993/
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author Ranaporn Senasutham
Sujin Bureerat
Juckamas Laohavanich
Cherdpong Chiawchanwattana
Suphan Yangyuen
author_facet Ranaporn Senasutham
Sujin Bureerat
Juckamas Laohavanich
Cherdpong Chiawchanwattana
Suphan Yangyuen
author_sort Ranaporn Senasutham
collection DOAJ
description The threading of Turkish or Oriental tobacco leaves is part of the sun drying process prior to cigarette production. In Thailand, tobacco leaves tend to be threaded manually by farmers, resulting in low production capacity due to insufficient labor being available. Therefore, the aim of this research is to analyze the tangential velocity of conveyor trays and the number of tobacco leaves pressed into needles, thereby affecting the working capacity of the machine. The machine comprises three main units. A programmable logic controller (PLC) is applied to control the machine’s operation. The factors under study include the tangential velocity of conveyor trays (0.13, 0.15, and 0.18 m/s) and the number of tobacco leaves pressed into needles using either seven or eight trays each time. The results of multiple-objective optimization for the tobacco threading machine are analyzed using the weighted sum method, revealing a tray tangential velocity of 0.15 m/s, while the use of eight trays per time produces the maximum capacity of 3,887 leaves per hour. In addition, analysis of the percentage minimum leaves lost indicates that the tangential velocity of the trays is 0.13 m/s, while pressing prior to gathering seven trays per time prevents 0.91 and 0.61% of the leaves from falling and tearing, respectively, during the threading process. Moreover, 1.30 and 2.21% of the leaves experienced falling and tearing, respectively, after the threading process. Furthermore, the analysis shows that the machine generated twice as much productivity than human labor.
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spelling doaj.art-02959ea7765e421d99156d70d254e92e2022-12-21T18:57:44ZengKhon Kaen UniversityEngineering and Applied Science Research2539-61612539-62182022-03-01492218227Multi-objective optimization of a threading machine for tobacco leavesRanaporn SenasuthamSujin BureeratJuckamas LaohavanichCherdpong ChiawchanwattanaSuphan YangyuenThe threading of Turkish or Oriental tobacco leaves is part of the sun drying process prior to cigarette production. In Thailand, tobacco leaves tend to be threaded manually by farmers, resulting in low production capacity due to insufficient labor being available. Therefore, the aim of this research is to analyze the tangential velocity of conveyor trays and the number of tobacco leaves pressed into needles, thereby affecting the working capacity of the machine. The machine comprises three main units. A programmable logic controller (PLC) is applied to control the machine’s operation. The factors under study include the tangential velocity of conveyor trays (0.13, 0.15, and 0.18 m/s) and the number of tobacco leaves pressed into needles using either seven or eight trays each time. The results of multiple-objective optimization for the tobacco threading machine are analyzed using the weighted sum method, revealing a tray tangential velocity of 0.15 m/s, while the use of eight trays per time produces the maximum capacity of 3,887 leaves per hour. In addition, analysis of the percentage minimum leaves lost indicates that the tangential velocity of the trays is 0.13 m/s, while pressing prior to gathering seven trays per time prevents 0.91 and 0.61% of the leaves from falling and tearing, respectively, during the threading process. Moreover, 1.30 and 2.21% of the leaves experienced falling and tearing, respectively, after the threading process. Furthermore, the analysis shows that the machine generated twice as much productivity than human labor.https://ph01.tci-thaijo.org/index.php/easr/article/download/245628/166993/threading machineturkish tobacco leavesweighted sumresponse surface methodology
spellingShingle Ranaporn Senasutham
Sujin Bureerat
Juckamas Laohavanich
Cherdpong Chiawchanwattana
Suphan Yangyuen
Multi-objective optimization of a threading machine for tobacco leaves
Engineering and Applied Science Research
threading machine
turkish tobacco leaves
weighted sum
response surface methodology
title Multi-objective optimization of a threading machine for tobacco leaves
title_full Multi-objective optimization of a threading machine for tobacco leaves
title_fullStr Multi-objective optimization of a threading machine for tobacco leaves
title_full_unstemmed Multi-objective optimization of a threading machine for tobacco leaves
title_short Multi-objective optimization of a threading machine for tobacco leaves
title_sort multi objective optimization of a threading machine for tobacco leaves
topic threading machine
turkish tobacco leaves
weighted sum
response surface methodology
url https://ph01.tci-thaijo.org/index.php/easr/article/download/245628/166993/
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AT sujinbureerat multiobjectiveoptimizationofathreadingmachinefortobaccoleaves
AT juckamaslaohavanich multiobjectiveoptimizationofathreadingmachinefortobaccoleaves
AT cherdpongchiawchanwattana multiobjectiveoptimizationofathreadingmachinefortobaccoleaves
AT suphanyangyuen multiobjectiveoptimizationofathreadingmachinefortobaccoleaves