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Item Screening performance of coal of different size fractions with variation in design and operational flexibilities of the new screening machine(Taylor and Francis Ltd., 2023) Shanmugam, B.K.; Vardhan, H.; Govinda Raj, M.; Kaza, M.; Sah, R.; Hanumanthappa, H.Coal separation was usually carried out using the wet coal beneficiation technique. The waste generated by this technique pollutes the environment. So, in this work, a new mechanism of screening machine for dry coal beneficiation was developed. Dry coal screening removes ash impurities from the coal and improves its energy productivity. Hence, a new screening machine was developed with flexibility in changing the screen mesh, screen angle, and frequency of vibration. In this work, coal feed of less than 6 mm were divided into three groups of −6 + 4 mm, −4 + 2 mm, and −2 + 0.5 mm size fractions. Each size fraction was screened individually in the new screening machine by changing the screen mesh to the required perforation. The screening efficiency was determined for each size fraction by varying operational variables such as screen angle and frequency of vibration. This new screening machine provides maximum screening efficiency of 87.36%, 80.52%, and 66.42% for screening coal feed of 6 + 4 mm, −4 + 2 mm, and −2 + 0.5 mm size fractions, respectively. Highly efficient screening and higher removal of ash from coal were obtained due to the design and operational flexibilities of the screening machine. © 2019 Taylor & Francis Group, LLC.Item Evaluation of the Parametric Effects of Separation of Coal in Vibration Separator Using Plackett–Burman Design of Experiments(Springer, 2023) Shanmugam, B.K.S.; Vardhan, H.; Govinda Raj, M.; Kaza, M.; Sah, R.; Hanumanthappa, H.Plackett–Burman’s design of experiment (DOE) technique provides a mathematical interrelationship between the output parameter and influential input parameters. The vibration separator performance was evaluated by considering three input variables: moisture, inclination, and frequency. Plackett–Burman DOE consists of a minimum number of 12 experimental trials for obtaining the most influential input parameter of the vibration separator. The output parameter of the vibration separator obtained for each experimental trial was separation efficiency. So, the present work provides the most influential input parameter, which highly controls the separation efficiency of the vibration separator for the separation of coal. The model was validated using the residual analysis. Further, the revalidation of the Plackett–Burman DOE mathematical model for the separation of coal was carried out by comparing the closeness of the experimental cube plot and predicted cube plot. Furthermore, the Pareto chart, normal plot, and ANOVA table were utilized to determine the significant input parameter for obtaining higher efficiency of vibration separator. The main effect plot, interactive plots, and optimization results provide the most optimized input parameter for obtaining higher efficiency of coal separation. So, the present work will provide the most influential parameters using Plackett–Burman DOE for separation of coal in the vibration separator. © 2022, The Indian Institute of Metals - IIM.