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Dive into the research topics where Joseph P. DuCarme is active.

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Featured researches published by Joseph P. DuCarme.


IEEE Transactions on Industry Applications | 2013

Are Lithium Ion Cells Intrinsically Safe

Thomas H. Dubaniewicz; Joseph P. DuCarme

National Institute for Occupational Safety and Health researchers are studying the potential for Li-ion-battery thermal runaway from an internal short circuit in equipment approved as permissible for use in underground coal mines. Researchers used a plastic wedge to induce internal short circuits for thermal runaway susceptibility evaluation purposes, which proved to be a more severe test than the flat plate method for selected Li-ion cells. Researchers conducted cell crush tests within a 20-L chamber filled with 6.5 % CH4-air to simulate the mining hazard. Results indicate that LG Chem ICR18650S2 LiCoO2 cells pose a CH4 explosion hazard from a cell internal short circuit. Under specified test conditions, A123 Systems 26650 LiFePO4 cells were safer than the LG Chem ICR18650S2 LiCoO2 cells at a conservative statistical significance level.


ieee industry applications society annual meeting | 2012

Are lithium ion cells Intrinsically Safe

Thomas H. Dubaniewicz; Joseph P. DuCarme

National Institute for Occupational Safety and Health researchers are studying the potential for Li-ion-battery thermal runaway from an internal short circuit in equipment approved as permissible for use in underground coal mines. Researchers used a plastic wedge to induce internal short circuits for thermal runaway susceptibility evaluation purposes, which proved to be a more severe test than the flat plate method for selected Li-ion cells. Researchers conducted cell crush tests within a 20-L chamber filled with 6.5 % CH4-air to simulate the mining hazard. Results indicate that LG Chem ICR18650S2 LiCoO2 cells pose a CH4 explosion hazard from a cell internal short circuit. Under specified test conditions, A123 Systems 26650 LiFePO4 cells were safer than the LG Chem ICR18650S2 LiCoO2 cells at a conservative statistical significance level.


Design Engineering and Computers and Information in Engineering, Parts A and B | 2006

Laboratory Investigation of Seat Suspension Performance During Vibration Testing

Alan G. Mayton; Joseph P. DuCarme; Christopher C. Jobes; Timothy J. Matty

Mining injury statistics show that a significant number of back, neck, and head injuries are linked to exposure from vehicle vibration. Use of a suspension seat is a common way to isolate the vehicle operator from the adverse effects of vibration exposure. Thus, researchers at the National Institute for Occupational Safety and Health1 - Pittsburgh Research Laboratory (NIOSH - PRL) performed laboratory studies on four passive and two semi-active seat suspension designs. These are typical of seat suspensions commonly found on large off-road heavy surface mining, construction and agricultural vehicles as either replacement or original equipment manufacturer (OEM) systems. One included a pneumatic (air bladder) spring mechanism. The fifth and sixth suspensions were a NIOSH magnetorheological (MR) semi-active damper design based on the pneumatic (air bladder) and one of the coil spring suspensions above. These suspensions were modified with a commercially available MR damper substituted for the OEM damper. These six seat suspension systems were tested and analyzed, for vertical vibration only, using the ISO 5007 Standard [1]. This paper describes the laboratory vibration tests using a MTS® shaker table and discusses the results obtained for the different suspension designs and highlights the rheonetic technology studied. Implications of the seat suspension designs relative to their capabilities for isolating vehicle operators from vibration exposure are discussed. Results for suspensions 1 through 3 showed frequencies of isolation from 2.1 to 3.0 Hz using the 40-kg (88-lb) mass and from 1.65 Hz to 1.8 Hz using the 80-kg (176-lb) mass. Suspension #4, in tests with only the 80-kg (176-lb) mass, showed an isolation frequency of 3.7 Hz. With the MR damper added to seat suspension #4, the peak transmissibility was lowered from 1.3 to 0.95 and showed a corresponding downward shift in frequency from 2.25 Hz to 1.4 Hz. In fact, the results for suspension #5 (the MR damper added to seat suspension #4), using test #3 conditions of the programmed control algorithm, showed isolation (attenuation of transmitted vibration) throughout the test frequency range from 1.0 to 6.0 Hz.© 2006 ASME


Archive | 2019

Developing effective proximity detection systems for underground coal mines

Joseph P. DuCarme

Abstract Over 80 fatalities have been caused by struck-by or pinning accidents involving continuous mining machinery and mobile equipment in underground coal mines since 1984. Proximity detection systems have been developed and are being mandated by MSHA to prevent future accidents involving these types of equipment. NIOSH began investigations that led to the development of electromagnetic proximity detection, named HASARD, in 2002. The research continued through development of intelligent proximity detection for continuous mining machines and is now focused on developing proximity detection system design guidelines for mobile equipment. All of this research has been published in detail as the work has progressed but there exists no summary or overview document. This book chapter compiles, in a single source, detailed documentation of NIOSH proximity detection research from HASARD to current work.


ASME 2016 International Mechanical Engineering Congress and Exposition | 2016

Performance Summary of Continuous Mining Machine Proximity Detection Systems

Peter T. Bissert; Joseph P. DuCarme; Jacob L. Carr; Christopher C. Jobes; Jeffrey Yonkey

Since 1984, remote controlled continuous mining machines (CMM) have caused 40 crushing and pinning fatalities in the United States. Due to limited space in the underground environment and visibility needs, CMM operators typically work close to the machine which exposes them to the danger of being struck or pinned by it. Because of these fatalities, the Mine Safety and Health Administration (MSHA) has published a rule requiring proximity detection systems (PDSs) on all CMMs except for full-face machines. To test PDS performance, researchers at the National Institute for Occupational Safety and Health (NIOSH) conducted a series of field tests in underground coal mines throughout the United States on CMMs equipped with PDSs. The field tests collected data under a variety of conditions to evaluate the warning and shutdown zone performance of these systems. A baseline test condition was measured when the machine was operating in non-mining mode. Three additional conditions discussed in this paper include testing of the PDS while the machine was operating in mining mode, examining the possibility of parasitic coupling to the trailing cable, and examining the effects of the presence of a shuttle car. The results of this study indicate that the average warning and stop zones vary minimally between non-mining mode and trailing cable influence measurements, as well as between the mining mode and shuttle car presence tests. A majority of the measurements for warning and stop zones showed repeatability within +/− 5 inches (12.7 cm). Additionally, parasitic coupling to the trailing cable was not experienced during this field testing. However, these results show that the range of stop zone measurements varied by 4.7 ft on average and as much as 11.7 ft in different field sites. This is most likely due to individual preferences by operators during installation when the warning and stop zone distances are set. While a PDS should effectively stop a CMM when an operator gets too close to the machine, the large variations between field test measurements indicate that there is a wide variation of performance established during system installation.


ieee industry applications society annual meeting | 2011

Determining proximity warning and action zones for a magnetic proximity detection system

Christopher C. Jobes; Jacob L. Carr; Joseph P. DuCarme; Justin Patts

Researchers at the National Institute for Occupational Safety and Health (NIOSH) are developing intelligent software for use with electromagnetic proximity detection systems. The technology accurately locates workers around mining machines in real time. With the accurate locations of the workers around the equipment being known, their safety status can be evaluated. If a worker is located dangerously close to a machine, the machine can be partially or completely disabled to protect the worker from striking, pinning and entanglement hazards according to pre-defined logic. The technology is particularly applicable to mobile underground mining machines which offer difficult safety challenges in that operators generally work in close proximity to these machines in very restricted spaces. With use of the intelligent proximity detection system, nuisance alarms and failures to alarm are also expected to be sharply reduced. An effective proximity warning and action zone scheme is necessary for safe implementation and will improve the acceptance of a magnetic proximity detection system by underground workers.


Journal of Loss Prevention in The Process Industries | 2014

Further study of the intrinsic safety of internally shorted lithium and lithium-ion cells within methane-air.

Thomas H. Dubaniewicz; Joseph P. DuCarme


Volume 14: Emerging Technologies; Materials: Genetics to Structures; Safety Engineering and Risk Analysis | 2017

Causal Factors of Collision Accidents Involving Underground Coal Mobile Equipment

James D. Noll; Cory DeGennaro; Jacob L. Carr; Joseph P. DuCarme; Gerald T. Homce


Professional safety | 2016

Proximity Detection Zones: Designs to Prevent Fatalities Around Continuous Mining Machines

Peter T. Bissert; Jacob L. Carr; Joseph P. DuCarme


Archive | 2016

Proximity Detection Zones

Peter T. Bissert; Jacob L. Carr; Joseph P. DuCarme

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Jacob L. Carr

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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Christopher C. Jobes

National Institute for Occupational Safety and Health

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Peter T. Bissert

National Institute for Occupational Safety and Health

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Alan G. Mayton

National Institute for Occupational Safety and Health

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Cory DeGennaro

National Institute for Occupational Safety and Health

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Gerald T. Homce

National Institute for Occupational Safety and Health

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James D. Noll

National Institute for Occupational Safety and Health

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Jeffrey Yonkey

National Institute for Occupational Safety and Health

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Justin Patts

National Institute for Occupational Safety and Health

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