Design Modification and Performance Evaluation of an Existing Cashew Nut Shell Liquid (CNSL) Extraction Machine
- Authors
-
-
Isaac O. OLAOYE
Department of Agricultural Engineering, Abiola Ajimobi Technical University, Ibadan, Oyo State, Nigeria
Author
-
- Keywords:
- Cashew nut shell liquid, CNSL extraction, machine modification, performance evaluation, agricultural processing machinery.
- Abstract
-
Cashew Nut Shell Liquid (CNSL) is a valuable industrial by-product obtained from cashew nut shells, widely used in coatings, resins, brake linings, and polymer industries. However, many locally fabricated CNSL extraction machines suffer from low extraction efficiency, excessive energy consumption, poor thermal control, and operational safety challenges. This study presents the design modification and performance evaluation of an existing CNSL extraction machine aimed at improving extraction yield, operational efficiency, and safety. Key modifications included redesign of the heating chamber, improvement of the screw press geometry, enhancement of thermal insulation, and integration of a controlled discharge system. Performance evaluation was conducted by comparing the modified machine with the original version in terms of extraction efficiency, throughput capacity, energy consumption, and quality of extracted CNSL. Experimental results showed that the modified machine achieved an average extraction efficiency of 78.6%, representing a 21.4% improvement over the existing design. Energy consumption was reduced by 18%, while the throughput capacity of the machine was found to decrease with constant shaft speed with increase in time taken. The results demonstrate that appropriate mechanical and thermal design modifications can significantly enhance the performance of CNSL extraction machines, making them more suitable for small- and medium-scale cashew processing industries.
- References
- Downloads
- Published
- 23-03-2026
- Section
- Articles
- License
-
Copyright (c) 2026 FUDMA Journal of Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
Similar Articles
- Benjamin BELLO, Jibril D. JIYA, Aje TOKAN, Ahmed MOHAMMED, Classification of Groundnut Pod Varieties using Histogram-Based Gradient Booster Classifier (HGBC) with Machine Learning Techniques , FUDMA Journal of Engineering and Technology: Vol. 2 No. 1 (2026): June 2026
- Ndagi MAMUDU, Ibrahim S. MOHAMMED, Mohammed ALIYU, Peter DANIEL, Timothy Y. AKANDE, Bala A. GARBA, Development and Performance Evaluation of Biomass Pyrolysis System for Biofuel Production , FUDMA Journal of Engineering and Technology: Vol. 2 No. 1 (2026): June 2026
- Isiaq O. ALABI, Hassan T. ABDULAZEEZ, Sulaiman AHMAD, Yahaya M. SANI, Scalability Versus Accuracy Trade-offs in Distributed Big Data Processing Frameworks: A Comparative Evaluation of Apache Spark, Flink, and Dask Using Benchmark Datasets , FUDMA Journal of Engineering and Technology: Vol. 2 No. 1 (2026): June 2026
- Sarafa ISHOLA, Olusegun S. OLAOYE, Adeyinka A. ADEGBOLA, Isaac A. OLUREMI, Oluseye O. AGBEDE, Drying Kinetics and Combustion Characteristics of Carbonized Cashew Nut Shell Briquettes Under Open Sun, Passive and Active Solar Drying , FUDMA Journal of Engineering and Technology: Vol. 2 No. 1 (2026): June 2026
- Ojo I. ENOCK, Ibrahim A. SAIDU, Ibrahim SULAIMAN, Oluwafeyisikemi. Y. ENOC, Design and Development of a Melon Shelling Machine , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Olusiji A. ADEYANJU, Joseph O. OLAIDE, Machine Learning Models for Predicting Flow Rate for Niger Delta Oil Wells , FUDMA Journal of Engineering and Technology: Vol. 2 No. 1 (2026): June 2026
- Olawale J. OLALUYI, Johnson O. ADEOGO, Adeniyi O. AJIBOYE, Mayowa O. ORESELU, Olarewaju T. OGINNI, Application of Machine Learning for Enhancing Fake Logo Detection , FUDMA Journal of Engineering and Technology: Vol. 1 No. 2 (2025): December 2025
- Beabu B. DUMKHANA, Dandison M. WALI, Assessment of the Impact of Tractor Noise Exposure on Operators and Bystanders , FUDMA Journal of Engineering and Technology: Vol. 2 No. 1 (2026): June 2026
- Murtala NAMAKKA, Abdulhamid S. ILIYASU, Utilisation of Supercritical Critical Fluids in Adsorption Process: A Comprehensive Review , FUDMA Journal of Engineering and Technology: Vol. 2 No. 1 (2026): June 2026
- Caleb A. ABORISADE, Jide E.T. AKINSOLA, Ifeoluwa M. OLANIYI, Fathia O. ONIPEDE, Emmanuel A. OLAJUBU, Ganiyu A. ADEROUNMU, Machine Learning-Based Polycystic Ovary Syndrome Generative Modelling via Ensemble Learning and Neural Networks for Infertility Prediction , FUDMA Journal of Engineering and Technology: Vol. 1 No. 1 (2025): July 2025
You may also start an advanced similarity search for this article.
