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Mohammad Javad Rahimdel
Department of Mining Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran

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Journal article
Published: 02 August 2021 in International Journal of Mining, Reclamation and Environment
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The large tonnage mines use railway transportation as a system for mineral transportation. The rolling stock health condition study and improvement not only reduce the lifecycle cost of the assets but also ensures safe, reliable, punctual, and efficient transportation. The remaining useful life estimation is an efficient approach to condition-based maintenance, prognostics, and health management. This paper aims to predict the remaining life of a mining rolling stocks in the presence of operational environmental effects. In this study, the operation and failure data were obtained from Malmbana, LKAB, Sweden, a Swedish Railway Company, considering the effective operational factors. The failure behaviour of the railcar was evaluated and then the proportional hazard model was used to estimate the conditional reliability functions and accordingly the remaining useful life at the various initial survival time. Finally, the reliability-based time interval is applied to plan the maintenance operations. Results of this study show that the operator’s skill level and the maintenance quality had a significant influence on the reliability performance. By considering the proposed PM plan according to the desired reliability level, the remaining lifetime of the rolling stock will be improved by 78.10%, on average.

ACS Style

Mohammad Javad Rahimdel; Behzad Ghodrati. Remaining useful Life Improvement for the Mining Railcars under the Operational Conditions. International Journal of Mining, Reclamation and Environment 2021, 1 -22.

AMA Style

Mohammad Javad Rahimdel, Behzad Ghodrati. Remaining useful Life Improvement for the Mining Railcars under the Operational Conditions. International Journal of Mining, Reclamation and Environment. 2021; ():1-22.

Chicago/Turabian Style

Mohammad Javad Rahimdel; Behzad Ghodrati. 2021. "Remaining useful Life Improvement for the Mining Railcars under the Operational Conditions." International Journal of Mining, Reclamation and Environment , no. : 1-22.

Journal article
Published: 31 May 2021 in Sustainability
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Railway transportation systems are generally used to transport minerals from large-scale mines. Any failure in the railcar components may cause delays or even catastrophic derailment accidents. Failure mode and effect analysis (FMEA) is an effective tool for the risk assessment of mechanical systems. This method is an appropriate approach to identify the critical failure modes and provide proper control measures to reduce the level of risk. This research aims to propose an approach to identify and prioritize the failure modes based on their importance degree. To achieve this, the analytical hierarchy process (AHP) is used along with the FMEA. To compensate for the scarcities of the conventional FMEA in using the linguistic variables, the proposed approach is developed under the fuzzy environment. The proposed approach was applied in a case study, a rolling stock operated in an iron ore mine located in Sweden. The results of this study are helpful to identify not only the most important failure modes but also the most serious and critical ones.

ACS Style

Mohammad Rahimdel; Behzad Ghodrati. Risk Prioritization for Failure Modes in Mining Railcars. Sustainability 2021, 13, 6195 .

AMA Style

Mohammad Rahimdel, Behzad Ghodrati. Risk Prioritization for Failure Modes in Mining Railcars. Sustainability. 2021; 13 (11):6195.

Chicago/Turabian Style

Mohammad Rahimdel; Behzad Ghodrati. 2021. "Risk Prioritization for Failure Modes in Mining Railcars." Sustainability 13, no. 11: 6195.

Journal article
Published: 22 January 2021 in Rudarsko-geološko-naftni zbornik
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Mining is a high-risk industry that exposes operators and workers to a high level of occupational health and safety hazards caused by vehicle accidents, blasting, or collapse. This paper aims to analyse the serious and fatal accidents in Iran’s mines over a six-year period, from 2012 to 2017. The data sources were the statistical results of the occupational accidents reported by the National Statistical Centre of Iran and the importance measure of incidents defined by the questionnaires received from the mine safety and health experts. This research presents a model for the prioritization of the mining workplace based on the weighted injury risk of the occupational incidents in the mining industry. The results of this work show that the coal mines of Iran have the highest work-related incidence rate which requires special safety attention. Moreover, the total temporary disability risk is currently at the lowest level in all mining activities, while the fatality risk has significantly increased in the coal mines in recent years. The results obtained from this study are helpful to detect the dangerous mining workplaces and to protect workers from workplace hazards by considering the safety guidelines.

ACS Style

Mohammad Javad Rahimdel. INJURY ANALYSIS OF IRAN’S MINING WORKPLACES. Rudarsko-geološko-naftni zbornik 2021, 36, 15 -23.

AMA Style

Mohammad Javad Rahimdel. INJURY ANALYSIS OF IRAN’S MINING WORKPLACES. Rudarsko-geološko-naftni zbornik. 2021; 36 (1):15-23.

Chicago/Turabian Style

Mohammad Javad Rahimdel. 2021. "INJURY ANALYSIS OF IRAN’S MINING WORKPLACES." Rudarsko-geološko-naftni zbornik 36, no. 1: 15-23.

Journal article
Published: 22 July 2020 in Rudarsko-geološko-naftni zbornik
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Drilling is the first stage of open pit mining that has a considerable effect on the other stages of mining, including blasting, loading, hauling and crushing. An unsuitable drilling pattern may lead to undesirable results such as poor...

ACS Style

Ahmad Aryafar; Mohammad Javad Rahimdel; Ehsan Tavakkoli. SELECTION OF THE MOST PROPER DRILLING AND BLASTING PATTERN BY USING MADM METHODS (A CASE STUDY: SANGAN IRON ORE MINE, IRAN). Rudarsko-geološko-naftni zbornik 2020, 35, 97 -108.

AMA Style

Ahmad Aryafar, Mohammad Javad Rahimdel, Ehsan Tavakkoli. SELECTION OF THE MOST PROPER DRILLING AND BLASTING PATTERN BY USING MADM METHODS (A CASE STUDY: SANGAN IRON ORE MINE, IRAN). Rudarsko-geološko-naftni zbornik. 2020; 35 (3):97-108.

Chicago/Turabian Style

Ahmad Aryafar; Mohammad Javad Rahimdel; Ehsan Tavakkoli. 2020. "SELECTION OF THE MOST PROPER DRILLING AND BLASTING PATTERN BY USING MADM METHODS (A CASE STUDY: SANGAN IRON ORE MINE, IRAN)." Rudarsko-geološko-naftni zbornik 35, no. 3: 97-108.

Journal article
Published: 24 April 2020 in Resources Policy
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Mines and mining industries provide many employment opportunities and generate economic growth. Mining is an important way to reach sustainable development and investing in this sector creates suitable economics added value. Huge resources of the various mineral types have held Iran as one of the most-rich mineral countries. Making a proper strategic vision and investment preference for this vital economic sector without considering the internal restrictions (such as energy and water resources) is impossible. Regarding different limitations exist in the determination of appropriate investment opportunity, multi-attribute decision-making (MADM) methods can be applied. Although these methods have been widely used in the literature, studies in the investment preferences of the mineral resources are insufficient. This paper aims to study the investment preference of Iran's mineral types using hybrid MADM (HMADM) models. The productivity of energy consumption, water, and labor force are considered as the main decision criteria. The hybrid methods fuzzy-DEMATEL-TOPSIS and fuzzy-DEMATEL-PROMETHEE are applied to study the comparative advantages in Iran's mineral resource exploitation. Regarding the results of this study, the productivity of the consumed water and the value-added production have the highest importance in prioritizing the mineral resources of Iran. Moreover, gold, coal, copper, iron ore, kaolin and fireclay, and lead and zinc mineral types are prioritized, respectively.

ACS Style

Mohammad Javad Rahimdel; Hossein Noferesti. Investment preferences of Iran's mineral extraction sector with a focus on the productivity of the energy consumption, water and labor force. Resources Policy 2020, 67, 101695 .

AMA Style

Mohammad Javad Rahimdel, Hossein Noferesti. Investment preferences of Iran's mineral extraction sector with a focus on the productivity of the energy consumption, water and labor force. Resources Policy. 2020; 67 ():101695.

Chicago/Turabian Style

Mohammad Javad Rahimdel; Hossein Noferesti. 2020. "Investment preferences of Iran's mineral extraction sector with a focus on the productivity of the energy consumption, water and labor force." Resources Policy 67, no. : 101695.

Conference paper
Published: 30 November 2019 in Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection - MPES 2019
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Railcar or Rolling stock that is referring to all vehicles moving on railway, is one of the most important component of the rail transport system. In-operation failures of the railcar results delays in transportation and therefore predicting the remaining useful life (RUL) and accordingly considering the preventive maintenance activities are essential. The RUL estimation is a key factor in predictive maintenance that has an influence on the maintenance scheduling, spare parts prediction and also the operational performance of the assets. This paper aims to model and analyze the RUL of railcars at LKAB, a Swedish Mining Company. To achieve this goal, first the failure behavior of the critical subsystems was analyzed and discussed. Then, with considering the effective operational factors (covariates), proportional hazard model (PHM) is applied to calculate the reliability functions. In this concept, RUL of the railcars can be obtained and discussed at the various initial survival times.

ACS Style

Mohammad Javad Rahimdel; Behzad Ghodrati; Amir Taghizadeh Vahed. Prediction of Mining Railcar Remaining Useful Life. Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection - MPES 2019 2019, 281 -288.

AMA Style

Mohammad Javad Rahimdel, Behzad Ghodrati, Amir Taghizadeh Vahed. Prediction of Mining Railcar Remaining Useful Life. Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection - MPES 2019. 2019; ():281-288.

Chicago/Turabian Style

Mohammad Javad Rahimdel; Behzad Ghodrati; Amir Taghizadeh Vahed. 2019. "Prediction of Mining Railcar Remaining Useful Life." Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection - MPES 2019 , no. : 281-288.

Original contribution
Published: 29 August 2019 in Journal of The Institution of Engineers (India): Series C
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Drilling, as the initial stage of exploitation in open-pit mining, has a significant effect on subsequent mining stages. Any failure in a drilling machine stops the drilling operation and, as a result, all following operational phases come to a halt. The drilling system is the most important part of the drilling operation. This study selected two new rotary-type drilling machines (A and B) in Sarcheshmeh Copper Mine in Iran as a case study to perform a reliability and availability analysis of their drilling systems. The drilling system was divided into three independent subsystems; drill string, rotary head, and mast. The reliability modeling used a reliability block diagram and Monte Carlo simulation. Reliability and availability were evaluated, and the importance of each subsystem estimated. A preventive maintenance schedule was proposed using weighed reliability allocation to achieve the reliability target. The results show the mast is the most reliable subsystem. Importance measure analysis indicates the drill string and rotary head are the most critical subsystems of machines A and B, respectively. Finally, under the proposed maintenance policy, the reliability of the drilling systems of machines A and B is improved.

ACS Style

Mohammad Javad Rahimdel; Mohammad Ataei; Behzad Ghodrati. Modeling and Simulation Approaches for Reliability Analysis of Drilling Machines. Journal of The Institution of Engineers (India): Series C 2019, 101, 125 -133.

AMA Style

Mohammad Javad Rahimdel, Mohammad Ataei, Behzad Ghodrati. Modeling and Simulation Approaches for Reliability Analysis of Drilling Machines. Journal of The Institution of Engineers (India): Series C. 2019; 101 (1):125-133.

Chicago/Turabian Style

Mohammad Javad Rahimdel; Mohammad Ataei; Behzad Ghodrati. 2019. "Modeling and Simulation Approaches for Reliability Analysis of Drilling Machines." Journal of The Institution of Engineers (India): Series C 101, no. 1: 125-133.

Article
Published: 12 March 2019 in Archives of Environmental & Occupational Health
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The goal of this article was to prioritize the practical solutions for vibrational health risk reduction of truck drivers during mining operation using the multicriteria decision-making (MCDM) techniques. Mining trucks require special consideration because of their specific suspension system, large size, payload capacity, and off-road conditions of mining. In most cases, it is not easy for decision makers to compute verbal and linguistic variables, whose values are expressed in linguistic terms. These uncertainties and ambiguities are well interpreted by using fuzzy set theory. In this study, the MCDM methods were used under fuzzy environment. As a result, seat suspension maintenance was offered as the best solution to attenuate the vibrations and decrease the injuries related to the WBV exposure. The driver training, haul road construction and maintenance, lighting and visibility improvement and work organization were found as the other solutions, respectively.

ACS Style

Mohammad Javad Rahimdel; Mehdi Mirzaei. Prioritization of practical solutions for the vibrational health risk reduction of mining trucks using fuzzy decision making. Archives of Environmental & Occupational Health 2019, 75, 112 -126.

AMA Style

Mohammad Javad Rahimdel, Mehdi Mirzaei. Prioritization of practical solutions for the vibrational health risk reduction of mining trucks using fuzzy decision making. Archives of Environmental & Occupational Health. 2019; 75 (2):112-126.

Chicago/Turabian Style

Mohammad Javad Rahimdel; Mehdi Mirzaei. 2019. "Prioritization of practical solutions for the vibrational health risk reduction of mining trucks using fuzzy decision making." Archives of Environmental & Occupational Health 75, no. 2: 112-126.