The assessment of material handling strategies in dealing with sudden loading: influences of foot placement on trunk biomechanics

Ergonomics ◽  
2013 ◽  
Vol 56 (10) ◽  
pp. 1569-1576 ◽  
Author(s):  
Jie Zhou ◽  
Boyi Dai ◽  
Xiaopeng Ning
Ergonomics ◽  
2018 ◽  
Vol 61 (10) ◽  
pp. 1364-1373 ◽  
Author(s):  
Saman Madinei ◽  
Hossein Motabar ◽  
Xiaopeng Ning

Author(s):  
Hossein Motabar ◽  
Saman Madinei ◽  
Xiaopeng Ning

Shoulder disorders have been reported as the most severe musculoskeletal disorders among all body parts. Multiple occupational risk factors such as manual material handling, repetitive motion, overexertion, fatigue, and overhead tasks have been reported to be associated with the development of shoulder disorders. The objective of this study was to investigate the effect of height (low, middle, high) on shoulder muscles during sudden loading. Kinematics and Electromyography (EMG) was recorded from 14 male participants. Effect of height found to be significant on normalized EMG and load travel distance. Bilateral shoulder muscles indicated higher NEMG with the increase of the load’s altitude. This increase of muscle activity could have resulted from the greater potential energy of the load at higher altitudes which required extra muscle activity to maintain the biomechanical stability of the shoulder. Reduced stability of shoulder at higher altitudes caused proprioceptive deficit which resulted in higher load travel distance.


Author(s):  
Monica L. H. Jones ◽  
Sheila M. Ebert ◽  
Clive D’Souza ◽  
Matthew P. Reed

Postural stability and balance during manual material handling and industrial tasks are fundamental to ergonomic assessment of workplace tasks. Previous research has determined that accurate prediction of a person’s balance maintenance strategy is one of the most important parameters affecting the accuracy of posture prediction algorithms. Digital human modeling has the potential to provide designers with accurate tools to represent human posture, but currently available software typically lacks empirically-derived models of center of pressure (CoP) excursion. This paper presents an overview of a study that systematically quantified CoP excursion behavior through a series of standing reach tasks for participants with a wide range of body size. CoP excursion was greatly affected by foot placement and target location. The overall goal of this research is to develop an empirical model of center of pressure (CoP) excursion that can be integrated into human figure modeling software to improve prediction of standing postures typically observed in industrial tasks.


2019 ◽  
Vol 97 ◽  
pp. 109410
Author(s):  
A. Muller ◽  
J. Vallée-Marcotte ◽  
X. Robert-Lachaine ◽  
H. Mecheri ◽  
C. Larue ◽  
...  

Author(s):  
J.N. Ramsey ◽  
D.P. Cameron ◽  
F.W. Schneider

As computer components become smaller the analytical methods used to examine them and the material handling techniques must become more sensitive, and more sophisticated. We have used microbulldozing and microchiseling in conjunction with scanning electron microscopy, replica electron microscopy, and microprobe analysis for studying actual and potential problems with developmental and pilot line devices. Foreign matter, corrosion, etc, in specific locations are mechanically loosened from their substrates and removed by “extraction replication,” and examined in the appropriate instrument. The mechanical loosening is done in a controlled manner by using a microhardness tester—we use the attachment designed for our Reichert metallograph. The working tool is a pyramid shaped diamond (a Knoop indenter) which can be pushed into the specimen with a controlled pressure and in a specific location.


2019 ◽  
Vol 12 (1) ◽  
pp. 7-20
Author(s):  
Péter Telek ◽  
Béla Illés ◽  
Christian Landschützer ◽  
Fabian Schenk ◽  
Flavien Massi

Nowadays, the Industry 4.0 concept affects every area of the industrial, economic, social and personal sectors. The most significant changings are the automation and the digitalization. This is also true for the material handling processes, where the handling systems use more and more automated machines; planning, operation and optimization of different logistic processes are based on many digital data collected from the material flow process. However, new methods and devices require new solutions which define new research directions. In this paper we describe the state of the art of the material handling researches and draw the role of the UMi-TWINN partner institutes in these fields. As a result of this H2020 EU project, scientific excellence of the University of Miskolc can be increased and new research activities will be started.


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