Article Per Year (5 Year)
p-Index From 2021 - 2026
7.585
P-Index
This Author published in this journals
All Journal International Journal of Mechanical Engineering Technologies and Applications (MECHTA) Indonesian Journal of Industrial Engineering & Management International Journal of Industrial Engineering and Engineering Management
Oke, Sunday Ayoola
Unknown Affiliation
Automotive Engineering Control & Systems Engineering Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

Published : 55 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 55 Documents
Search

 1   2   3   4   5 
Optimizing the Parameters of Carbon Fiber Reinforced Plastic Composite Drilling Process Using Signal-to-noise Ratio-based Grey Wolf Optimization Algorithm Taiwo, Emmanuel Oluwatobi; Oke, Sunday Ayoola; Rajan, John; Jose, Swaminathan; Oyetunji, Elkanah Olaosebikan; Adedeji, Kasali Aderinmoye
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 1 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i1.7691

Abstract

This study aims to develop an optimization scheme that contributes to the production of carbon fiber-reinforced plastics using the grey wolf optimization approach. Different from other optimization schemes such as the Taguchi method, which takes some time to compute and use, this grey wolf optimization approach introduced a fast convergence scheme to reduce computation time thereby making its implementation in the factory very interesting. Data used for the analysis was obtained from a doctoral thesis via an experimental approach. Four responses were considered in this work, namely the torque, delamination at entry and exit, eccentricity and thrust force. A spreadsheet was used to implement the computational procedure of the grey wolf optimization algorithm. In using the wolves, at the initial level, the starting point was a zero where hunting had not begun and the prey had just entered the park, which is within the territory of the grey wolves. With this in mind, real life is mimicked and such data gathered would aid precise decision-making. The results revealed the feasibility of the approach and convergence was obtained at the tenth iteration with the best fitness value at 9020785071. It is expected that the findings from this work will be useful as a method for planning in production planning and policy development for the carbon fiber-reinforced plastic industry. This study is a noteworthy contribution to the production development of CFRPs where the grey wolf algorithm is used to analyze the problem. In addition, evidence of the responses determining the quality of drilled products is provided.
Low Wear Rate Selection of Nylon 6-Boron Nitride (PA6/BN) Composite During Composite Development Using Grey Relational Analysis Through the Direct and Indirect Factors of Taguchi Method Adekoya, Abdulganiyu Adegboyega; Rajan, John; Jose, Swaminathan; Oke, Sunday Ayoola; Aderibigbe, Samuel Bolaji; Odudare, Samson Oluwaseun
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 1 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i1.7734

Abstract

Wear performance has been evaluated for mechanical equipment using normal load, sliding speed, and sliding distance, but aspect ratios have been traditionally ignored in the literature. Also, limited studies have analyzed wear performance with sparse information. In this study, a grey relational analysis (GRA) technique is proposed for the wear performance analysis of nylon 6/boron nitride composite using aspect ratios. A complete divergence is made from the literature where the aspect ratios of the particulate weight of the composite, normal load, sliding speed, and sliding distance are treated in direct and aspect ratios of 12 cases where the reciprocals of factors, their squares and cubes are considered. Results show that the proposed method of GRA is feasible and offers an adequate illustration of the indices of the parameters of the wear process as opposed to the present method of Taguchi that exists in the literature. A key result is from case 2, which shows that experimental trial 9 with the grey relational grade of 1.00 has the lowest wear rate. The corresponding values of the parameters are 0.05 of the 1/NL parameter, while the SD parameter is 500. This is interpreted as 0.05N-1 of the reciprocal of normal load and 500m for the sliding distance. The principal contribution of this research is the introduction of the grey relational analysis to reduce the wear rate of nylon 6-boron nitride composite. The proposed method is useful as a planning tool for the maintenance engineer to monitor the health of equipment in practice.  
A Tapped Density Taguchi Optimization for Orange Peel Particulate Green Fillers Ajibade, Oluwaseyi Ayodele; Agunsoye, Johnson Olumuyiwa; Oke, Sunday Ayoola
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 2: June 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i2.22415

Abstract

Transportation of green fillers for composites has serious densification implications due to particulate shape irregularities and size distributions. To date, few scientific studies are available on the tapped density measurements of orange peel particulate fillers. In this work, experiments were conducted on the tapped density of orange peel particulates in gentle and successive taps to the measuring cylinder containing the particulate matter. Taguchi's technique of "smaller-the-better" quality characteristics used in measuring the signal-to-noise (S/N) ratio was applied to determine the optimal setting of the tapped density process parameters. Within a range of taps from 1 to 48 points, all tapped points showed that 0.425mm OPP has a higher average apparent density of 3.22g/cm2 than 0.600mm (i.e. 3.189g/cm3) except for points at 8, 28 and 32 taps. Furthermore, for the 0.600mm OPP, its average tapped density improved by 6.97% compared to its average apparent density. Moreover, it was found that the Taguchi optimal setting for the tapped density of OPP given was A1B1C1, which reads as 8.727 number of taps, a tapped density of 4.433 and 4.395g/cm3, respectively, for the 0.425 and 0.600mm OPP samples sizes. This means that the required number of taps to obtain OPPs with light density and structural integrity to meet improved composite variety demands would be 8.727 taps, while a tapped density of 4.433 and 4.395g/cm3 is required for the 0.425 and 0.600mm OPP sizes. Hence, the number of taps was the tapped density parameter that had the greatest effect on the S/N ratios of the tapped filler materials. The results are of immense benefit to composite design engineers and equipment manufacturers for behavioural simulation and testing purposes.
Optimization of MQL-Turning Process Parameters to Produce Environmentally-Benign AISI 4340 Alloy with Nano-Lubricants using Cuckoo Search Algorithm Ozule, Chukwuka Prosper; Oke, Sunday Ayoola; Rajan, John; Jose, Swaminathan; Oyetunji, Elkanah Olaosebikan; Adedeji, Kasali Aderinmoye; Nwankiti, Ugochukwu Sixtus
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 2: June 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i2.22728

Abstract

The current research consists of a machining process involving AISI steel where the input parameters are the cutting depth, feed rate and cutting speed while the responses include the cutting force, surface roughness and tool wear. Usually, heat is generated during the turning process and various machining processes, and to reduce it, coolants are considered. In this work, CuO and Al2O3 were used as nano lubricants (MQL). Data obtained from the machining process were inserted into Minitab 18 software where quadratic objective functions were formulated as related to each output concerning the input parameters. Objective functions were optimized with the aid of C++ programming code. The cuckoo search algorithm was used for the optimization process of the work. This work clearly shows a reduction of the output parameters that is, cutting force from 243N to 127.20N, surface roughness from 0.66µm to 0.368µm and tool wear from 0.069mm to 0.0046mm using CuO as the nano lubricant. While using Al2O3, cutting force was lowered from 363N to 197.63N, surface roughness from 1.98µm to 0.148µm and tool wear from 0.219mm to 0.063mm. This clearly shows that using CuO helps to obtain a better cutting force coupled with elongation of the tool life but Al2O3 best gives a better surface finish.
Parametric Selection and Optimization of Al-Mg-Mn-Zr-Er Alloy Weld Bead Geometry Welded by Laser Using the Aspect Ratio-Based Taguchi Method Umoh, Akwaeno Uduak; Oke, Sunday Ayoola; Rajan, John; Oluwo, Adeyinka; Oyekeye, Manasseh Olusegun; Jose, Swaminathan; Aderibigbe, Samuel Bolaji; Odudare, Samson Oluwaseun
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 2: June 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i2.22749

Abstract

At present, there is a continuous escalation of labour costs, material costs and other welding-related costs and stabilizing them is challenging. Therefore, optimization of the welding process is essential to stabilize the situation. In this article, an aspect ratio-based Taguchi method is proposed to control the operational performance of the laser welding process while welding the Al-Mg-Mn-Zr-Er alloy sheets. The direct parameters considered are the laser power (LP), welding speed (WS) and welding feed rate (WFR). The aspect ratios analyzed are LP/WS, LP/WFR, WS/LP, WS/WFR, WFR/LP and WFR/WS. The aspect ratios are introduced into the factor/level framework, and the results, transmitted as orthogonal arrays are changed to signal-to-noise ratios. The final results are the delta values, ranks and optimal parametric settings. The principal results indicate that for the LPWS and LP/WFR formulation, the optimal parametric setting is LP/WS1LP/WFR3, which is interpreted as 1.6 kWmin/m LP/WS and 0.35 kWmin/m of LP/WFR. The corresponding delta values are 3.875 and 2.6288 while the positions of 1st and 2nd were obtained by LP/WS and LP/WFR aspect ratios, respectively. It was established that the LP/WS, WS/WFR and WFR/LP are the most important aspect ratios for the laser welding of Al-Mg-Mn-Zr-Er alloy sheets. Therefore, prioritization in resource distribution should be given to these parameters according to their positions. This article serves as a source of information for welding decision-making.
Analysis on Nylon 6/6 Camshaft Gear Temperature Simulation In A 1.1 Kva Elepaq Generator Using Inventor and ANSYS Sanni, Olalekan Abdulrahim; Oke, Sunday Ayoola
International Journal of Mechanical Engineering Technologies and Applications Vol. 2 No. 2 (2021)
Publisher : Mechanical Engineering Department, Engineering Faculty, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/MECHTA.2021.002.02.10

Abstract

Camshaft gear temperature simulations are presently crucial as they offer a distinctive visual account of the temperature profile within the generator, they permit superior manufacturing assessment and the design of heat-resistant camshaft gear with high performance and low cost. However, available information to designers is inadequate as they omit the approximate global maximum temperature, particularly for the nylon 6/6 camshaft gear in a 1.1 kVA elepaq generator. In this article, the idea is to simulate and account for the global minimum and maximum temperature using the Inventor and ANSYS software. The stress-induced on the generator was considered. The results of the simulation revealed an approximate global maximum temperature of the nylon 6/6 camshaft gear as 37°C max with 22°C min. Furthermore, the global minimum at 35°C max with 21°C min was considered. Besides, the structural steel global maximum of 38°C max, 25°C min and global minimum 35°C max, 24°C min. The stress values did not exceed 0.1419 MPa on ANSYS but the ANSYS revealed that the camshaft gear strain was within safe limits. The simulation approach predicts the minimum and maximum temperature of the nylon 6/6 camshaft gear and the stress and strain values. The utility of this attempt is to help designers to implement effective decisions on material choice and design parameters for optimisation, performance and low-cost design.
Integration of Fuzzy 0/1 Knapsack Dynamic Programming and PROMETHEE Method for Vehicle Exhaust Emission Parametric Optimization and Selection in the Packing Industry Agada, Alexander Iwodi; Rajan, John; Jose, Swaminathan; Oke, Sunday Ayoola; Benrajesh, Pandiaraj; Oyetunji, Elkanah Olaosebikan; Adedeji, Kasali Aderinmoye
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 2 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i2.7689

Abstract

Packaging industries fabricate and transport products in wrapped, sealed, and cushioned containers and boxes on roads, often through fossil-fuelled vehicles that emit carbons. Thus, decarbonization and net zero emission drive are compelling for these vehicles. This paper proposes a robust green logistics interaction model for monitoring and reducing exhaust pipe emissions in an uncertain environment. It uses a hybrid method known as fuzzy-0/1-KDP-PROMETHEE (Fuzzy-0/1 Knapsack dynamic programming-Preference Ranking Organization Method for Enrichment Evaluation) approach to concurrently reduce uncertainty, optimize the capacity of the knapsack and establish the preferred option among the parameters of green logistic. Both PROMETHEE I and II were introduced and tested using logistics data from an Indian environment based on secondary data. The method works by first reducing the effect of uncertainty on the model outcomes. This was achieved by establishing the output space as the fuzzy state, creating fuzzy rules, and mapping degrees to rules. Then, the degrees are used to maximize, ensuring that the weighted sum is not greater than the capacity of the Knapsack. The outcome is then regarded as the element of the green logistics exhaust emission process. The results obtained from the analysis, using the replacement of fuzzy expert (triangular) with fuzzy extent (trapezoidal), fuzzy geometric mean (triangular), and fuzzy geometric mean (trapezoidal) reveal that the fuzzy-0/1-KDP-PROMETHEE method adequately represents the score obtained using the data set from the exhaust emissions.
Improving Thermal Friction Drilling Performance of AISI 304 Stainless Steel Using the Harris Hawk Optimization Method Ogunmola, Bayo Yemisi; Alozie, Nehemiah Sabinus; Adeyinka, Oluwo; Nwankiti , Ugochukwu Sixtus; Oke, Sunday Ayoola; Rajan, John; Jose, Swaminathan
International Journal of Industrial Engineering and Engineering Management Vol. 6 No. 2 (2024)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v6i2.7743

Abstract

Presently, in friction drilling optimization schemes, quick convergence of solutions and simplicity of methods are still challenging. These issues are drawbacks in obtaining the maximum potential benefits from the optimization process. Therefore, this paper applies a new optimization method, Harris Hawk optimization to the thermal drilling process of AISI 304 stainless steel. The algorithm minimizes the axial force, determination error, radial force, and radial error and maximizes the bushing length as the major output of the process. The proposed approach was tested with experimental data obtained from the literature. The obtained results indicate that the optimal production is feasible. An example is given here of the results of the input parameters for the minimum axial force, which is as follows: After 500 iterations, the optimal axial force yields a tool cylindrical region diameter of 5.78593 mm, a friction angle of 60 degrees, a friction contact area ratio of 57.7082, workpiece thickness of 3 mm, feed rate of 140 mm/min and rotational speed of 3002.85 rpm, which can be applied. The results assist engineers in implementing optimal conditions for the drilling process. The outcome of this study strengthens decisions to establish thresholds of values that are less or more than expected thereby providing a basis for comparison, reward, and reprimand for workers. Thus the drilling process can be optimized.
Optimizing to Minimize Thrust Force in Drilling Carbon Fiber Reinforced Plastic Composites with HSS Drill Bit Using Taguchi-Pareto Particle Swarm Optimization Method Taiwo, Emmanuel Oluwatobi; Oke, Sunday Ayoola
International Journal of Industrial Engineering and Engineering Management Vol. 4 No. 1 (2022)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v4i1.5081

Abstract

In this study, a robust method of Taguchi-Pareto (TP) coupled with particle swarm optimization (PSO) is proposed to minimize the thrust force in the drilling of carbon fiber reinforced plastic composites. Taguchi-Pareto is used against Taguchi (T) to emphasize the prioritization scheme essential for deploying the resources to parameters. Besides, and differently from earlier studies, particle swarm optimization is integrated with the Taguchi-Pareto to optimize the structure further. A further result is placed in the fitness function of the PSO to cultivate the velocity and position vectors. In the TP-PSO, the Pareto scheme is introduced to prioritize the factors based on the 80-20-rule. The Taguchi method yielded a feasible optimal parametric setting. The TPSO and TPPSO attained minimum thrust force in four and seven iterations, respectively. Furthermore, the PSO, TPPSO, and TPSO hold the first, second, and third positions, respectively. Results suggest that the proposed robust TPPSO offers an important indicator of optimization of the thrust force while drilling carbon fiber reinforced plastic composites using existing datasets. The usefulness of this effort is to help drilling operators and process engineers undertake energy-saving decisions.
Applications of AHP, FAHP, BWM, Entropy, and CRITIC Methods in Electrohydraulic Forming Process Parametric Evaluation for Automotive Panels Using the 1100 Aluminum Alloy Sheets Oke, Sunday Ayoola; Okponyia, Kenechukwu Obinna; Adeyemi, Olusola
International Journal of Industrial Engineering and Engineering Management Vol. 4 No. 2 (2022)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v4i2.5527

Abstract

Although multicriteria selection methods are flexible and extensively used in machining, less attention has been paid to their comprehensive test performance in the electrohydraulic forming process. In this study, five new applications of multicriteria selection methods are proposed to analyze available parameters in the electrohydraulic forming process and select parameters best suited for further analysis and improvement of the process. The analyzed parameters are the stand-off distance, electrode gap, voltage, and medium, while the multicriteria methods are the AHP, FAHP, BMW, entropy, and CRITIC. The proposed methods were demonstrated on experimental data from the literature utilizing an impulse magnetizer system (walker type). For each method, the prioritized parametric results were obtained. All the methods assign the first position to the medium as a parameter with consensus on the voltage parameter has the worst (lowest) value of weights in all the methods. The weights of the medium parameter for the best results are 0.5030 (AHP method), 0.5600 (FAHP method), 0.5230 (best-worst method), 0.4090 (entropy method), and 0.5000 (CRITIC method). The worst parameter for all the methods is the voltage of 0.0320 (FAHP method). The results obtained from the proposed applications were compared with one another and found to be effective for multicriteria selection decisions. This article offers new methods to establish the parametric values of the electrohydraulic forming process for machining composites made of AA1100 sheets.
Co-Authors Abayomi, Oluwatayo Johnson Abdullahi, Yakubu Umar Adeboye, Busayo Adedeji, Kasali Aderinmoye Adedeji, Wasiu Oyediran Adegoke, Ridwan Majekodunmi Adekola, Anthony Ozimu Adekoya, Abdulganiyu Adegboyega Adeniran, Mofoluwaso Kehinde Aderibigbe, Samuel Bolaji Adeyemi, Olusola Adeyemi, Olusola Michael Adeyinka, Oluwo Agada, Alexander Iwodi Agunsoye, Johnson Olumuyiwa Ajibade , Ayomide Tolulope Ajibade, Oluwaseyi Ayodele Alozie , Nehemiah Sabinus Alozie, Nehemiah Sabinus Ayanladun, Chris Abiodun Benrajesh, Pandiaraj Emorinken, Samuel Olayinka Fasina, Ebun Francis, Osita Prince Ibitoye, Ayomide Sunday Jose , Swaminathan Jose, Swaminathan Maduekwe, Victor Chidiebere Martins, Shedrach Aliakwe Nwankiti , Ugochukwu Sixtus Nwankiti, Ugochukwu Sixtus Odudare, Samson Oluwaseun Odusoro, Salome Ifeoluwa Ogunmola , Bayo Yemisi Ogunmola, Bayo Yemisi Okponyia, Kenechukwu Obinna Okwo, Jeremiah Ugo Olowu, Joseph Kolawole Oluwo , Adeyinka Oluwo, Adeyinka Onitiri, Modupe Adeoye Oyekeye, Manasseh Olusegun Oyelami, Seun Oyetunji, Elkanah Olaosebikan Ozule, Chukwuka Prosper Rajan, John Sanni, Olalekan Abdulrahim Sawyerr, Babatunde Alade Taiwo, Emmanuel Oluwatobi Udoibe, Ndifreke John Umoh, Akwaeno Uduak