Influence of drilling parameters on bone drilling force and temperature by FE simulation and parameters optimization based Taguchi method

Tian, Heqiang; Dang, Xiaoqing; Meng, Debao; Tian, Bin; Li, Jianyong

doi:10.1016/j.aej.2023.05.048

Cited by 12 publications

(3 citation statements)

References 25 publications

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Section: Literature Reviewmentioning

confidence: 99%

“…Tian, et al [7] examined the effect of rotational speed, feed speed, and tool diameter at 3 levels using Taguchi L9 and S/N ratio. It was found that rotational speed is the most significant factor that impacts bone drilling force and temperature Tian, et al [7]. Ogbonna, et al [8] used the Taguchi L9 and S/N ratio methods to find which parameter current, voltage, and gas flow rate had a greater impact on tensile strength (TS), yield strength (YS), the percentage elongation (PE), and hardness (H).…”

Section: Literature Reviewmentioning

confidence: 99%

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Unveiling influential factors in the capital asset pricing model: A novel approach utilizing Taguchi method

Dar,

Malhotra,

Alam

et al. 2024

5003

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This study uses a Design of Experiment (DOE) approach and the Taguchi method to examine how different factors affect the expected return within the framework of the CAPM. The Capital Asset Pricing Model (CAPM) is a financial framework that forecasts an investment’s expected return by taking into account its systematic risk. This model factors elements like the risk-free rate, market risk premium, and beta to ascertain the expected return for a given asset. Typically, historical market data and financial analysis provide the inputs for CAPM. This method, frequently used in manufacturing and engineering, is modified for use in the financial domain to evaluate the importance of variables like beta, market risk premium, and the risk-free rate. The research identifies the factors that influence investment performance and shows how much each factor contributes to the expected returns. It is possible to ascertain each factor's percentage contribution to the expected return through statistical analysis. This work improves knowledge of CAPM and creates opportunities for improving investment decision-making processes by bridging the gap between financial theory and experimental design. Financial practitioners can achieve more reliable and accurate investment return forecasts by incorporating DOE techniques into their existing analytical toolkit.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Unveiling influential factors in the capital asset pricing model: A novel approach utilizing Taguchi method

Dar,

Malhotra,

Alam

et al. 2024

5003

View full text Add to dashboard Cite

show abstract

“…The Taguchi method is employed in this research for parameter setting. The Taguchi method itself is a tool for efficient and systematic optimization, and it's a testing method developed based on statistical principles and methods [64]. The Taguchi orthogonal arrays method is used in this research with 3 parameters, 3 levels, and 9 runs as shown in Table 7.…”

Section: Design Of Experimentsmentioning

confidence: 99%

Multi-Vehicle Capacitated Vehicle Routing Problem for Rice Commodities in Indonesia Considering the Factors of Weather-Induced Damages and Carbon Emissions

Ramadhani,

Sari,

Rifai

2024

AEJ

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This research discussed the Multi-Vehicle Capacitated Vehicle Routing Problem (MCVRP) in the rice commodity supply chain. This study considered the impact of weather conditions and carbon emissions on route decisions. These factors influenced travel time and rice quality, which can lead to delays, route changes, and increased supply chain costs. To account for weather conditions, the proposed model integrated historical weather data into route decisions. Additionally, the model incorporated carbon emissions as a significant factor in route decisions, aiming to reduce the environmental impact of transportation. This was achieved by considering vehicle fuel consumption and corresponding carbon emissions, optimizing route decisions to minimize the overall carbon footprint. The objective of this research was to develop a routing model that minimizes total costs while adhering to vehicle capacity constraints and customer delivery demands. Adaptive Large Neighborhood Search (ALNS) was proposed as an optimization method to solve the problem. Particularly, novel destroy and repair operators of ALNS were developed to specifically reduce the transportation cost, emission cost, and lost sales cost due to weather-induced damages. The results indicated that the proposed ALNS significantly decreased delivery expenses compared to the initial solution, achieving a 32% reduction in costs. The ALNS algorithm yielded superior outcomes compared to the standard LNS with lower objective and faster computing time. This research contributed to the development of sustainable supply chain practices in the rice commodity industry. The proposed approach provided a solution for MCVRP that considered weather conditions and carbon emissions while ensuring efficient commodity transportation.

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A parametric study with experimental investigations of expanded graphite on performance measure of EDM process of Ni55.8Ti SMA

Chaudhari,

Rehman,

Khanna

et al. 2024

Alexandria Engineering Journal

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Influence of drilling parameters on bone drilling force and temperature by FE simulation and parameters optimization based Taguchi method

Cited by 12 publications

References 25 publications

Unveiling influential factors in the capital asset pricing model: A novel approach utilizing Taguchi method

Unveiling influential factors in the capital asset pricing model: A novel approach utilizing Taguchi method

Multi-Vehicle Capacitated Vehicle Routing Problem for Rice Commodities in Indonesia Considering the Factors of Weather-Induced Damages and Carbon Emissions

A parametric study with experimental investigations of expanded graphite on performance measure of EDM process of Ni55.8Ti SMA

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