Volume 16 (2025)
Volume 15 (2024)
Volume 14 (2023)
Volume 13 (2022)
Volume 12 (2021)
Volume 11 (2020)
Volume 10 (2019)
Volume 9 (2018)
Volume 8 (2017)
Volume 7 (2016)
Volume 6 (2015)
Volume 5 (2014)
Volume 4 (2013)
Volume 3 (2012)
Volume 2 (2011)
Volume 1 (2010)
An Experimental-Intelligent Method to Predict Noise Value of Drilling in Dimension Stone Industry

Reza Mikaeil; Mostafa Piri; Sina Shaffiee Haghshenas; Nicola Careddu; Hamid Hashemolhosseini

Volume 13, Issue 3 , July 2022, , Pages 693-713

https://doi.org/10.22044/jme.2022.12092.2206

Abstract
  The noise of drilling in the dimension stone business is unbearable for both the workplace and the people who work there. In order to reduce the negative effects drilling has on the health of the environment, the drilling noise has to be measured, assessed, and controlled. The main purpose of this work ...  Read More

Risk Assessment in Quarries using Failure Modes and Effects Analysis Method (Case study: West-Azerbaijan Mines)

Akbar Esmaeilzadeh; Sina Shaffiee Haghshenas; Reza Mikaeil; Giuseppe Guido; Roohollah Shirani Faradonbeh; Roozbeh Abbasi Azghan; Amir Jafarpour; Shadi Taghizadeh

Volume 13, Issue 3 , July 2022, , Pages 715-725

https://doi.org/10.22044/jme.2022.12117.2209

Abstract
  Iran is one of the countries with the largest number of quarry mines in the world. Diamond cutting wire is usually used in quarries to cut dimension stone cubes, which is accompanied by hazardous events. Therefore, detecting and investigating the possible quarry risks is crucial to have a safe and sustainable ...  Read More

Statistical Study to Evaluate Performance of Cutting Machine in Dimension Stone Cutting Process

S. Shaffiee Haghshenas; R. Mikaeil; A. Esmaeilzadeh; N. Careddu; M. Ataei

Volume 13, Issue 1 , January 2022, , Pages 53-67

https://doi.org/10.22044/jme.2022.11362.2118

Abstract
   Predicting the amperage consumption of cutting machines could be one of the critical steps in optimizing the energy-consuming points for the dimension stone cutting industry. Hence, the study of the relationship between the operational characteristics of cutting machines and rocks with focusing ...  Read More

Rock Mechanics
Performance evaluation of chain saw machines for dimensional stones using feasibility of neural network models

J. Mohammadi; M. Ataei; R. Kakaie; R. Mikaeil; S. Shaffiee Haghshenas

Volume 10, Issue 4 , October 2019, , Pages 1105-1119

https://doi.org/10.22044/jme.2018.7013.1542

Abstract
  Prediction of the production rate of the cutting dimensional stone process is crucial, especially when chain saw machines are used. The cutting dimensional rock process is generally a complex issue with numerous effective factors including variable and unreliable conditions of the rocks and cutting machines. ...  Read More

Application of non-linear regression and soft computing techniques for modeling process of pollutant adsorption from industrial wastewaters

A. Aryafar; R. Mikaeil; F. Doulati Ardejani; S. Shaffiee Haghshenas; A. Jafarpour

Volume 10, Issue 2 , April 2019, , Pages 327-337

https://doi.org/10.22044/jme.2018.6511.1469

Abstract
  The process of pollutant adsorption from industrial wastewaters is a multivariate problem. This process is affected by many factors including the contact time (T), pH, adsorbent weight (m), and solution concentration (ppm). The main target of this work is to model and evaluate the process of pollutant ...  Read More

Rock Mechanics
Performance evaluation of gang saw using hybrid ANFIS-DE and hybrid ANFIS-PSO algorithms

A.R. Dormishi; M. Ataei; R. Khaloo Kakaie; R. Mikaeil; S. Shaffiee Haghshenas

Volume 10, Issue 2 , April 2019, , Pages 543-557

https://doi.org/10.22044/jme.2018.6750.1496

Abstract
  One of the most significant and effective criteria in the process of cutting dimensional rocks using the gang saw is the maximum energy consumption rate of the machine, and its accurate prediction and estimation can help designers and owners of this industry to achieve an optimal and economic process. ...  Read More

Application of harmony search algorithm to evaluate performance of diamond wire saw

R. Mikaeil; Y. Ozcelik; M. Ataei; S. Shaffiee Haghshenas

Volume 10, Issue 1 , January 2019, , Pages 27-36

https://doi.org/10.22044/jme.2016.723

Abstract
  Evaluation and prediction of performance of diamond wire saw is one of the most important factors involved in planning the dimension stone quarries. The wear rate of diamond wire saw can be investigated as a major criterion to evaluate its performance. The wear rate of diamond wire saw depends upon non-controlled ...  Read More