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Lanre Daniyan's Publications

OPTIMISING MATERIAL SELECTION FOR AIRCRAFT WING DESIGN USING RADAR MULTI-CRITERIA DECISION-MAKING AND SIMULATION APPROACHES

This study employs a multi-criteria decision-making (MCDM) support specifically the Ranking Based on Distance and Range (RADAR-DR) and Relative Assessment of Decision Alternatives with Ranges (RADAR-ABER) techniques for the selection of materials for the development of an aircraft wing. The ABAQUS® commercial software code was used for the modeling and simulation analyses to determine the suitability of selected materials such

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March 4, 2026

Artificial intelligence and robotics in predictive maintenance : a comprehensive review

The integration of artificial intelligence (AI) and robotics into predictive maintenance (PdM) systems has brought about a fundamental change in the operations of the industries since it has left behind the previous method of reactive and scheduled maintenance models in favor of proactive and data- driven models. The current systematic review of literature (2015-2025) is aimed at the development of

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March 4, 2026

Cutting force and surface roughness prediction of Al 6065T6 during turning operation using response surface methodology, machine learning, and simulation‑based approach

The dynamics of cutting operation necessitate the use of a reliable predictive model for accurate prediction of machining parameters, namely, cutting force (CF) and surface roughness (SR). This study predicts the cutting force and surface roughness of Al 6065 T6 during turning operation using a combined approach, namely, surface response methodology (RSM), machine learning (ML), and computer-aided simulation-based approach. The

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September 22, 2025

Investigating temperature variation of Al 6065 T6 during milling operation for aerospace applications using response surface methodology and support vector regression

Aluminium alloy finds increasing industrial applications due to its desirable properties. However, its low thermal conductivity often limits its application at elevated temperatures, thus the need to investigate the temperature variation during milling operation for aerospace applications. The response surface methodology (RSM) carried out in the Design-Expert 2022 software environment was used to investigate the temperature variation of Al 6065

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September 10, 2025
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