TIPPER FOR CONTROLLING FLOW BOXES OF POTATOES IN GRADING STATIONS | ||||
| Misr Journal of Agricultural Engineering | ||||
| Article 8, Volume 31, Issue 4, October 2014, Page 1363-1378 PDF (948.47 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjae.2014.98255 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| R. G. SALIM | ||||
| Agric. Eng. Res. Inst. Agric. Res. Center, Egypt. | ||||
| Abstract | ||||
| The main objectives of this study were to manufacture of tipper for controlling flow boxes of potatoes in grading stations of investment companies as alternate to the costly ( tenfold) of importing box tipper using the Egyptian facilities such as row material, local workshops and labors required with (one) tenth cost. While manufacturing of tipper take considered heavy duty different emptying angles of box tipper, 2,000kg lift as maximum lifting weight, single machine with twin hydraulic rams, Manual override in control panel, one set cradle inserts, adjustable height legs to give maximum height under conveyor of 1.6m, side safety guards, Light guards (not fitted when machine rose by 1.8m), Minimum cycle time 28 seconds and Manually adjustable flow door. Measuring indicators were tested for the local manufactured tipper at the tested emptying angles (degrees), hydraulic pressure (bar) and box capacity (ton). It was found that using the tested local tipper with emptying angle 1600 and 100 bar hydraulic pressure under 1.25 ton box capacity gave the best results in all treatment and achieving the minimum cycle time 28 seconds to empty the box and minimum bruises Therefore it is advisable to use the local manufacture tipper that showed the best results comparing the imported tipper that costing the tenfold compared to the local tipper and gave the same target | ||||
| References | ||||
|
MariqueT, KharoubiA, Bauffe P, DucattillonC(2003) Modelling of fried potato chips color classification using artificial neural network. Journal of Food Science, 68, 2263–2266.
Marique T, Pennincx S, Kharoubi A (2005) Image segmentation and bruise identification on potatoes using a Kohonen’s self-organizing map. J. of Food Science, 70, 415–417.
Michael Thornton & William Bohl (1995) Preventing Potato Bruise Damage. College of agriculture , university of Idaho Cooperative Extension System Agricultural Experiment Station BUL 725 (Revised)
Noordam JC, OttenGW,TimmermansAJM, vanZwolBH(2000) High speed potato grading and quality inspection based on a color vision system. Proceedings of SPIE: The International Society for Optical Engineering, 3966, 206–219.
Rousselle P, Robert Y, Crosnier JC (1996) La pomme de terre. Production, amélioration, ennemis et maladies, utilisations. Paris: INRA éditions, p. 607. | ||||
|
Statistics Article View: 142 PDF Download: 208 |
||||
