PRAKTIK KERJA LAPANG PENANGANAN PASCA PANEN DI UNIT PELAYANAN TEKNIS PELABUHAN PERIKANAN PANTAI MUNCAR

JURNAL LEMURU ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 8-14
Author(s):  
Ike Kartika Anggraini
Keyword(s):  
Primary Processing ◽  
Secondary Processing

Pada bidang perikanan istilah pasca panen diartikan sebagai berbagai tindakan atau perlakuan yang diberikan pada hasil perikanan setelah panen hingga komoditas berada di tangan konsumen. Istilah tersebut secara lebih tepat disebut pasca produksi (postproduction) yang dapat dibagi dalam dua bagian atau tahapan, yaitu pasca panen (postharvest) dan pengolahan (processing).  Penanganan pasca panen (postharvest) sering disebut juga sebagai pengolahan primer (primary processing) merupakan istilah yang digunakan untuk semua perlakuan dari mulai panen sampai komoditas dapat dikonsumsi “segar” atau untuk persiapan pengolahan berikutnya. Umumnya perlakuan tersebut tidak mengubah bentuk penampilan atau penampakan, kedalamnya termasuk berbagai aspek dari pemasaran dan distribusi. Pengolahan (secondary processing) merupakan tindakan yang mengubah hasil tanaman ke kondisi lain atau bentuk lain dengan tujuan dapat tahan lebih lama pengawetan, mencegah perubahan yang tidak dikehendaki atau  untuk  penggunaan lain. Ke dalamnya termasuk pengolahan pangan dan pengolahan industri.

Collision Threat Parameters for a new Radar Display and Plot Technique

1983 ◽  
Vol 36 (3) ◽  
pp. 404-410 ◽  
Author(s):  
Andrzej S. Lenart
Keyword(s):  
High Speed ◽  
Digital Processing ◽  
General Purpose ◽  
New Approach ◽  
Primary Processing ◽  
Secondary Processing ◽  
Three Stages ◽  
Radar Antenna ◽  
Theoretical Considerations ◽  
Speed Of Analysis

The paper, an edited and shortened version of the original, discusses a new approach to the display of collision threat parameter areas, obtained as a result of theoretical considerations. It can be applied to radar-computer anti-collision systems as well as manual radar plots.With the development of digital techniques, and electronic digital computers in particular, radar-computer anti-collision systems are now aboard ships. Digital processing of signals and data in such systems can be divided into three stages as follows:(a) Primary processing, which includes an analysis of radar signals within one rotation of the radar antenna. A result of this processing would be the position coordinates of detected objects. For relatively simple algorithms and high speed of analysis, special devices are usually employed.(b) A secondary processing, which includes a correlation of the information obtained in the primary processing stage; the objects' position coordinates in consecutive antenna rotations; and an estimate of position, motion and approach parameters. For secondary processing devices general-purpose mini- and microcomputers are usually applied.(c) A graphical display of the calculation.

MINIMIZATION OF ECONOMIC LOSSES IN A FLAX SUBCOMPLEX OF AIC

2020 ◽  
Author(s):  
I.V. Velikanova ◽  
Keyword(s):  
Objective Assessment ◽  
Economic Losses ◽  
Economic Systems ◽  
Primary Processing ◽  
Complete Restoration

The article presents an objective assessment of the extent of economic losses in the flax complex of Russia, including indirect ones, caused by the violation and imperfection of the technologies for growing, harvesting and primary processing of flax, as well as the rationale for minimizing them. It has been established that the most relevant of these methods should include the most complete restoration of the functions of the weakest links in the technological, technical and organizational - economic systems of the flax subcomplex.

ANCORSTEEL 4300

Alloy Digest ◽  
2009 ◽  
Vol 58 (11) ◽  
Keyword(s):  
Fracture Toughness ◽  
Physical Properties ◽  
Tensile Properties ◽  
Cost Effective ◽  
Heat Treating ◽  
Effective Alternative ◽  
Powder Metal ◽  
Secondary Processing ◽  
Cost Effective Alternative

Abstract Ancorsteel 4300 alloy ferrous powder simulates wrought steel compositions and is a cost-effective alternative to alloys requiring secondary processing. This datasheet provides information on composition, physical properties, hardness, and tensile properties as well as fracture toughness. It also includes information on heat treating and powder metal forms. Filing Code: SA-611. Producer or source: Hoeganaes Corporation.

Study on the atomization zones of the nozzle in the processes of material primary processing

2021 ◽  
pp. 1-8
Author(s):  
Nan Pan ◽  
Junbin Qian ◽  
Chengjun Zhao
Keyword(s):  
Axial Direction ◽  
Liquid Distribution ◽  
Primary Processing ◽  
Nozzle Injection ◽  
Injection Zone ◽  
Liquid Atomization ◽  
Whole Space ◽  
Simulation And Experiment ◽  
Jet Nozzle ◽  
Atomization Zone

It can divide the atomization effect in the direction of the nozzle axial injection into the jet area and the non-jet area by using the second crushing theory. On this basis, according to the feed liquid atomization particles discrete degree index of characteristics particle size of feed liquid atomization, it divides the injection zone into the atomization area and the diffusion area, so as to realize the axial direction of jet nozzle injection zone, atomization zone and the diffusion zone accurately. Simulation and experiment are used to verify the three zones of atomization nozzle. The division of three zones drives the study from the whole space of liquid distribution in the roller to atomization zone, clears the key zone of the roller in tobacco primary processing, and provides a basis for further work.

scholarly journals Comparative Study of the Properties of Wood Flour and Wood Pellets Manufactured from Secondary Processing Mill Residues

Polymers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 2487
Author(s):  
Geeta Pokhrel ◽  
Yousoo Han ◽  
Douglas J. Gardner
Keyword(s):  
Moisture Content ◽  
Bulk Density ◽  
Raw Materials ◽  
Wood Flour ◽  
The United States ◽  
Red Maple ◽  
Wood Pellets ◽  
Secondary Processing ◽  
Material Costs ◽  
Mill Residues

The generation of secondary processing mill residues from wood processing facilities is extensive in the United States. Wood flour can be manufactured utilizing these residues and an important application of wood flour is as a filler in the wood–plastic composites (WPCs). Scientific research on wood flour production from mill residues is limited. One of the greatest costs involved in the supply chain of WPCs manufacturing is the transportation cost. Wood flour, constrained by low bulk densities, is commonly transported by truck trailers without attaining allowable weight limits. Because of this, shipping costs often exceed the material costs, consequently increasing raw material costs for WPC manufacturers and the price of finished products. A bulk density study of wood flour (190–220 kg/m3) and wood pellets (700–750 kg/m3) shows that a tractor-trailer can carry more than three times the weight of pellets compared to flour. Thus, this study focuses on exploring the utilization of mill residues from four wood species in Maine to produce raw materials for manufacturing WPCs. Two types of raw materials for the manufacture of WPCs, i.e., wood flour and wood pellets, were produced and a study of their properties was performed. At the species level, red maple 40-mesh wood flour had the highest bulk density and lowest moisture content. Spruce-fir wood flour particles were the finest (dgw of 0.18 mm). For all species, the 18–40 wood flour mesh size possessed the highest aspect ratio. Similarly, on average, wood pellets manufactured from 40-mesh particles had a lower moisture content, higher bulk density, and better durability than the pellets from unsieved wood flour. Red maple pellets had the lowest moisture content (0.12%) and the highest bulk density (738 kg/m3). The results concluded that the processing of residues into wood flour and then into pellets reduced the moisture content by 76.8% and increased the bulk density by 747%. These material property parameters are an important attempt to provide information that can facilitate the more cost-efficient transport of wood residue feedstocks over longer distances.

Computational modeling in the primary processing of titanium: A review

JOM ◽  
2009 ◽  
Vol 61 (5) ◽  
pp. 45-50 ◽  
Author(s):  
Vasisht Venkatesh ◽  
Andrew Wilson ◽  
Manish Kamal ◽  
Matthew Thomas ◽  
Dave Lambert
Keyword(s):  
Computational Modeling ◽  
Primary Processing
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