scholarly journals Research on the Physical Characteristic Parameters of Banana Bunches for the Design and Development of Postharvesting Machinery and Equipment

Agriculture ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 362
Author(s):  
Jie Guo ◽  
Han Fu ◽  
Zhou Yang ◽  
Jun Li ◽  
Yinlong Jiang ◽  
...  

In the operations of the banana postharvesting process, the design and development related to the dehanding machine, the cutting and crushing machine of bunch stalks, and the fiber extraction machine of bunch stalks are in the initial stages. In addition, with the development of society and urbanization, the aging populations in hilly and mountainous areas, where bananas are planted, are becoming a more and more serious problem. The basic physical characteristic parameters of banana bunches, banana hands, and bunch stalks are the basis for studying their biomechanical properties and designing and developing the corresponding mechanical equipment. We measured the diameter, thickness of rind, curvature, density, moisture content, diameter of vascular bundle, weight of bunch stalk, and axial distance and circumferential angle of Brazilian and plantain banana hands using experiments and statistical analysis. Through the combination of physical experiments and numerical statistics, we obtained the value range and changing law of the physical characteristic parameters of banana bunches.

2012 ◽  
Vol 190-191 ◽  
pp. 993-997
Author(s):  
Li Jie Sun ◽  
Li Zhang ◽  
Yong Bo Yang ◽  
Da Bo Zhang ◽  
Li Chun Wu

Mechanical equipment fault diagnosis occupies an important position in the industrial production, and feature extraction plays an important role in fault diagnosis. This paper analyzes various methods of feature extraction in rolling bearing fault diagnosis and classifies them into two big categories, which are methods of depending on empirical rules and experimental trials and using objective methods for screening. The former includes five methods: frequency as the characteristic parameters, multi-sensor information fusion method, rough set attribute reduction method, "zoom" method and vibration signal as the characteristic parameters. The latter includes two methods: sensitivity extraction and data mining methods to select attributes. Currently, selection methods of feature parameters depend heavily on empirical rules and experimental trials, thus extraction results are be subjected to restriction from subjective level, feature extraction in the future will develop toward objective screening direction.


Author(s):  
Y Zhang ◽  
Z. P. Zhang ◽  
Y. C. Zhou

In this paper the fuzzy and dynamic monitoring of mechanical equipment is studied using fuzzy techniques. Generally there are two types of condition monitoring: one is that the standard syndrome can be established in advance and, therefore, the fault samples can be identified by this; the other is that the standard syndrome is difficult to establish in advance, and information only about the operation condition of the mechanical equipment is needed. For the former the measure of fuzzy nearness can be used without using a series of weights for the characteristic parameters; for the latter the fuzzy cluster can be used without the standard syndrome. The vibration signal samples obtained from the 190A diesel engine block are identified and classified by the fuzzy measures. The results show that the fuzzy nearness and fuzzy cluster are practical and work well.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dilpreet Singh ◽  
Bhavuk Garg ◽  
Pulak Mohan Pandey ◽  
Dinesh Kalyanasundaram

Purpose The purpose of this paper is to establish a methodology for the design and development of patient-specific elbow implant with an elastic modulus close to that of the human bone. One of the most preferred implant material is titanium alloy which is about 8 to 9 times higher in strength than that of the human bone and is the closest than other metallic biomedical materials. Design/methodology/approach The methodology begins with the design of the implant from patient-specific computed tomography information and incorporates the manufacturing of the implant via a novel rapid prototyping assisted microwave sintering process. Findings The elastic modulus and the flexural strength of the implant were observed to be comparable to that of human elbow bones. The fatigue test depicts that the implant survives the one million cycles under physiological loading conditions. Other mechanical properties such as impact energy absorption, hardness and life cycle tests were also evaluated. The implant surface promotes human cell growth and adhesion and does not cause any adverse or undesired effects i.e. no cytotoxicity. Practical implications Stress shielding, and therefore, aseptic loosening of the implant shall be avoided. In the event of any trauma post-implantation, the implant would not hurt the patient. Originality/value The present study describes a methodology for the first time to be able to obtain the strength required for the medical implant without sacrificing the fatigue life requirement.


2013 ◽  
Vol 385-386 ◽  
pp. 1313-1317
Author(s):  
Wen Li Lei ◽  
Xin Cheng Ren ◽  
Xin Liang Cao ◽  
Xin Zhang

In view of the development of domestic demand for wireless medical technology market, the paper presents a WIFI-based wireless medical monitor which used to collect body temperature, pulse and other physical characteristic parameters of patient in every ward in the building. The entire monitoring system is composed of wireless medical monitors distributed in each ward and monitoring center computer. Wireless medical monitor is developed based on embedded core processor ARM9 and embedded Linux operating system platform, which uses WiFi wireless network to send patient physical characteristic parameters data to the monitoring center computer. Monitoring center computer can be used to view, store, forward recorded patient physical characteristic parameters data, and provides a basis for the patient's next medical programs.


2018 ◽  
Vol 175 ◽  
pp. 03009
Author(s):  
Yuqi Gong ◽  
Jingfang Shen ◽  
Wenwei Liu ◽  
Ling Chen

The contact performance of various mechanical parts has important influence on the static, dynamic and motion response of mechanical equipment. The characterization of rough surface topography is the basis for the study of friction, wear and contact deformation between mechanical bonding surfaces. By analyzing the various models of the characteristic parameters of mechanical interface, we provide a systematic research idea for the model of mechanical joint surface in the future. For further details on rough surface profile, the G-W model is put forward. Then the M-B model perfects its lack of scale independence. The relationship between actual contact area and load is derived from the M-B model based on fractal geometry theory. These formulas are used to study the characteristic parameters of mechanical interface, and the fractal model of contact damping and loss factor is established. Since fractal parameters are not limited by sampling length and resolution of measuring instrument, the new models are more reasonable than before. However, just as the M-B model needs to be improved, the model based on this need to be further studied, and the application of the model also needs to be explored more.


1994 ◽  
Vol 144 ◽  
pp. 185-187
Author(s):  
S. Orlando ◽  
G. Peres ◽  
S. Serio

AbstractWe have developed a detailed siphon flow model for coronal loops. We find scaling laws relating the characteristic parameters of the loop, explore systematically the space of solutions and show that supersonic flows are impossible for realistic values of heat flux at the base of the upflowing leg.


Author(s):  
Pallavi Dharwada ◽  
Joel S. Greenstein ◽  
Anand K. Gramopadhye ◽  
Steve J. Davis

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