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Dive into the research topics where Peter G. Kovalchik is active.

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Featured researches published by Peter G. Kovalchik.


ASME 2008 Noise Control and Acoustics Division Conference | 2008

Noise Source Identification on a Continuous Mining Machine

Hugo E. Camargo; Adam K. Smith; Peter G. Kovalchik; Rudy J. Matetic

Noise Induced Hearing Loss is the most common occupational disease in the U.S. and of paramount importance in the mining industry. According to data for 2006 from the Mine Safety and Health Administration (MSHA), Continuous Miner operators accounted for 30.2% of underground mining equipment operators with noise doses exceeding the Permissible Exposure Limit (PEL). This figure becomes more significant considering that 49% of the 2006 national underground coal production was extracted using continuous mining methods. Thus, there is a clear need to reduce the sound radiated by Continuous Mining Machines. The first step towards efficient noise control of a Continuous Mining Machine requires identification of the various noise sources under controlled operating conditions. To this end, a 42-microphone phased array was used in conjunction with 4 reference microphones to sample the acoustic field of a machine in the Hemi-anechoic chamber of the Pittsburgh Research Laboratory. These data were processed using a frequency-domain beamforming algorithm to obtain acoustic maps of 5 sides of the machine. The focus of the test was on the conveyor noise since previous studies showed that operation of the conveyor is the most important contributor to the sound radiated by the machine. From the acoustic maps, the following potential areas for noise control were identified, and included: chain-tail-roller interaction, chain flight tip-side board interaction, and chain-upper deck interaction.© 2008 ASME


Noise Control Engineering Journal | 2009

A Dual Sprocket Chain As A Noise Control For A Continuous Mining Machine

Adam K. Smith; Peter G. Kovalchik; Lynn A. Alcorn; Ruddy J. Matetic

Over-exposure to noise remains a widespread, serious health hazard in the U.S. mining industry despite 25 years of regulation. Most other categories of illnesses and injuries associated with mining have improved, with the exception of hearing loss. In order to reduce cases of Noise Induced Hearing Loss (NIHL) in the mining industry, retrofit acoustic treatments and controls are being developed to subdue noise at the source. The Mine Safety and Health Administration (MSHA) coal noise sample data collected from 2000 to 2005 has determined that continuous mining machines rank first among all mining equipment whose operators exceed 100% noise dosage. The continuous mining machine conveyor, used to move coal from the cutting face to the rear of the machine, has been identified as a dominant noise source. A dual sprocket conveyor chain was tested as a potential solution. Sound power level measurements conducted at the Pittsburgh Research Laboratory (PRL) accredited reverberation chamber showed a 3 dB reduction in the A-weighted sound power level when the dual sprocket chain was implemented. Underground results show an 8-hour Time Weighted Average (TWA8 hrs) reduction a 3 dB for continuous mining machine operators. Utilizing this newly developed noise control, along with previously proven controls, provides continuous mining machine operators an opportunity to be within the MSHA-Permissible Exposure Limit (MSHA-PEL).


Journal of Electromagnetic Waves and Applications | 2013

Environmental impact on the magnetic field distribution of a magnetic proximity detection system in an underground coal mine

Jingcheng Li; Jacob L. Carr; Joseph Waynert; Peter G. Kovalchik

A magnetic proximity detection system mounted on an underground mobile mining machine detects whether a worker is hazardously close to the machine. The system generates magnetic fields covering the extended spaces around the machine. A magnetic detector worn by the worker measures the magnetic field flux density and determines the distance from it to the machine. The system is frequently in close proximity to coal as the machine moves, causing the magnetic field flux, in part, to enter massive in situ coal. This has the potential to have an adverse effect on the accuracy of the system and on the safety of the worker if the coal were to significantly alter the magnetic flux density distribution. Two experiments were conducted to study the impact of in situ coal on these magnetic fields. Measurements in one mine show that coal mass has no significant impact on the magnetic field flux distribution.


ASME 2009 International Mechanical Engineering Congress and Exposition | 2009

Development of Roof-Bolting Machine Bit and Chuck Isolators for Drilling Noise Reductions

Jeffrey Shawn Peterson; Peter G. Kovalchik

Among underground coal miners, hearing loss remains one of the most common occupational illnesses. In response, the National Institute for Occupational Safety and Health (NIOSH) conducts research to reduce the noise emission of various underground coal mining equipment, an example of which is a roof bolting machine (RBM). After the removal of coal or rock, the remaining strata may be subject to fall, either from overhead (the roof) or from the side (the rib). One method used in underground coal-mines to prevent failures requires the installation of roof bolts. The roof bolting machine operator trams the machine to the required location, drills a hole into the strata, and then installs a roof bolt, supporting the roof or the rib, as the case may be. Field studies support the premise that, on average, drilling noise is the loudest noise that a roof bolting machine operator would be exposed to and contributes significantly to the operators’ noise exposure. NIOSH has determined that the drill steel radiates a significant amount of noise during drilling. NIOSH is developing bit and chuck isolators to reduce vibration, and thus noise radiation of the drill steel, with the longer-term goal of reducing roof bolting machine operator noise exposure. Laboratory testing has shown that operator ear sound pressure levels may be reduced by 3 to 7 dB(A), depending upon the test configuration and drilling media.


Journal of the Acoustical Society of America | 2007

Operator noise exposure reduction using coated conveyor chain flight bars

Adam K. Smith; Peter G. Kovalchik; Lynn A. Alcorn

Continuous miners are one of the fundamental machines used to cut, gather, and remove coal and noncoal minerals from underground room and pillar mining facilities. These machines are among mining equipment that generates the highest sound levels in an underground environment. The Mine Safety and Health Administration has determined that continuous mining machines rank first among all equipment in underground coal mining whose operators exceed 100% noise dosage. The conveying system is one of the principal noise sources on continuous mining machines, due to metal on metal impacts that occur between chain flights and the conveyor deck. A highly durable polyurethane coating has been developed by NIOSH for the chain flights to decrease noise generated by these impacts. A continuous mining machine retro‐fitted with coated flight bars have achieved overall sound level reductions of 5–7 dB(A) in a laboratory setting (Kovalchik et al., 2004). This research describes the effectiveness of this engineering noise con...


Journal of Safety Research | 2008

Application of Prevention through Design for hearing loss in the mining industry

Peter G. Kovalchik; Rudy J. Matetic; Alicia K. Smith; Susan B. Bealko


Archive | 1900

Underground evaluation of coated flight bars for a continuous mining machine

Adam K. Smith; Ellisworth R. Spencer; Lynn A. Alcorn; Peter G. Kovalchik


Journal of Safety Research | 2008

Prevention through Design: Mining sector

Susan B. Bealko; Peter G. Kovalchik; Rudy J. Matetic


Annals of Epidemiology | 1996

Distributed measurement of conductor temperatures in mine trailing cables using fiber-optic technology

Thomas H. Dubaniewicz; Peter G. Kovalchik; Larry Scott; Mark A. Fuller


Archive | 2009

Identifying the benefits of engineering noise controls through a business case

Peter G. Kovalchik; Dana Reinke; Alexander D. Salas; Adam K. Smith

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Adam K. Smith

Centers for Disease Control and Prevention

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Lynn A. Alcorn

Centers for Disease Control and Prevention

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Rudy J. Matetic

National Institute for Occupational Safety and Health

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Susan B. Bealko

National Institute for Occupational Safety and Health

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Thomas H. Dubaniewicz

National Institute for Occupational Safety and Health

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Alicia K. Smith

National Institute for Occupational Safety and Health

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Hugo E. Camargo

National Institute for Occupational Safety and Health

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Jacob L. Carr

National Institute for Occupational Safety and Health

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Jeffrey Shawn Peterson

National Institute for Occupational Safety and Health

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Jingcheng Li

National Institute for Occupational Safety and Health

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