Typical Faults Analysis and Treatment Measures for Forklifts

Abstract:

In order to study the typical fault types of Field (Factory) Special Motor Vehicle in the inspection process, we visited many warehouses and wharves in Huangpu District for inspection research, then summarizedthe typical failure modesand took its failure causes and treatment measures for key research. First, wemade statistics and summarized the failure law according to the typical fault types among the old vehicles of annual test. Then we analyzed the concrete manifestation and summarized the failure causes from the braking performance, knuckle mechanic, tire wear, fork loose and other failures of forklift. Then we aimed at the new vehicles of test and acceptance of fault type for statistical analysis. Finally, weformulate corresponding measures according to different fault types. As the result of Inspection and investigation showed, the failure rate of electric forkliftreaches to 1.3% as the failure rate of diesel forklift is to 10.7%; the market share of electric forklift of test and acceptance rose from 41.6% to 78.3% compared with electric forklift of annual test. Braking deviation oflinear acceleration is the most typical fault type of forklift; electric forklift make more excellent performance than diesel forklift on key parameterssuch as braking; forward forklift easily has rollover accidents.

• Periodical: Applied Mechanics and Materials (Volumes 494-495)
• Pages: 899-903
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.494-495.899
• Online since: February 2014
• Authors: Yi Min Liu, Guo Jian Huang*, Xin Hua Wang
• Keywords: Fault Causes, Field (Factory) Special Motor Vehicle, Forklift, Treatment, Typical Fault Types

References

[1] Matsumura, Tetsuo. TRANSIT PERMISSION SYSTEM FOR SPECIAL VEHICLES. [J]. Annual Report of Roads. 1984: 40-46.

[2] Harris G F, Derosia J. Dynamic postural stability testing during standup forklift (lift truck) operation[C]. Washington, DC., United states: American Society of Mechanical Engineers, (2003).

DOI: 10.1115/imece2003-43174

[3] Horberry T, Larsson T J, Johnston I, et al. Forklift safety, traffic engineering and intelligent transport systems: A case study[J]. Applied Ergonomics. 2004, 35(6): 575-581.

DOI: 10.1016/j.apergo.2004.05.004

[4] Bostelman R, Shackleford W. Advanced sensing towards improved forklift safety[C]. Baltimore, MD, United states: National Institute of Standards and Technology, (2010).

DOI: 10.1145/2377576.2377595

[5] Miller B C. FORKLIFT SAFETY BY DESIGN. [J]. Professional safety. 1988, 33(9): 18-21.

[6] Weppel S. Designing SAFE instruction: The use of 3D animation for safety training in a forklift safety module[C]. Indianapolis, IN, United states: Association for Iron and Steel Technology, AISTECH, (2011).

[7] Anon. Self-regulation in forklift safety[J]. Engineer. 2002, 291(7585): 19.

[8] Gubeljak N, Zerbst U, Predan J, et al. Application of the european SINTAP procedure to the failure analysis of a broken forklift[J]. Engineering Failure Analysis. 2004, 11(1): 33-47.

DOI: 10.1016/s1350-6307(03)00064-5

[9] Verschoore R, Pieters J G, Pollet I V. Measurements and simulation on the comfort of forklifts[J]. Journal of Sound and Vibration. 2003, 266(3): 585-599.

DOI: 10.1016/s0022-460x(03)00586-8

[10] Park J, Kim M, Lee S, et al. Development of autonomous loading and unloading for network-based unmanned forklift[J]. Journal of Institute of Control, Robotics and Systems. 2011, 17(10): 1051-1058.

DOI: 10.5302/j.icros.2011.17.10.1051