AAC Richard Soybean

AAC Richard is a food grade soybean [Glycine max (L.) Merr] cultivar with yellow hilum, high protein concentration, and good processing quality for foreign and domestic soymilk, tofu, and miso markets. It has resistance to SCN (soybean cyst nematode) (Heterodera Glycines Ichinohe). AAC Richard was developed at the Agriculture and Agri-Food Canada (AAFC) Harrow Research and Development Centre (Harrow-RDC), Harrow, Ontario and is adapted to areas of southwest Ontario with 3100 or more crop heat units and has a relative maturity of 2.3 (MG 2.3).

Research and Application of Flutter Suppression Technology for Aeroengine Case Machining

The magazine is an important part of the aero-engine, its main role is to bear the load and mass inertia force generated by the engine in the work. The design and manufacturing level of the magazine is of great significance to improve the aero-engine’s quality. Engine magazine belongs to a thin-wall cylinder part with large size, complex shape and high processing precision. Due to its thin wall rigidity difference, the processing quality is easy to reduce caused by the vibration of machine tools and other processing system, and cannot meet the requirements. According to the absorption principle of TMD (Tuning Mass Damper), an auxiliary fixture is designed to transfer the magazine processing vibration energy to the auxiliary fixture to reduce the vibration of the processing system and to improve the processing quality. Through ANSYS analysis, the maximum vibration amplitude of the magazine was reduced by 60% by using this fixture. Therefore, the fixture can significantly reduce the vibration in the processing and have good effect on improving the quality of the processing. The auxiliary fixture has the advantages of simple installation, simple disassembly, and strong scalability.

INVESTIGATION OF THE METHOD OF THERMAL FRICTION TURN-MILLING OF HIGH STRENGTH MATERIALS

An analysis of the state of the matter of the manufacture of parts such as bodies of revolution has shown that there is a problem of turning processing by turning large, long parts, connected with increasing productivity and processing quality, as well as reducing the costs of turning operations. To solve this problem, the authors propose a resource-saving combined method for treating external cylindrical surfaces by thermal friction turn-milling. Experimental studies were performed on the processing of the outer cylindrical surface using a special friction cutter made of non-instrumental material. The results showed that with thermal friction turn-milling, it is possible to achieve Ra = 1,0 mcm. The process of chip formation was also investigated and the formation of a retarded layer was established, which protects the surface of the friction cutter from wear. Optimum values of cutting conditions for processing by thermal friction turn-milling of steel 30HGSA.

Increasing the effectiveness of the fiber separating machine by abrasive blasting of the teeth of the saw cylinder discs

Abrasive blasting of the side surfaces of the teeth of saw blades of a cotton processing machine by particles of black silicon carbide is proposed. The required processing quality is achieved by the formation of an effective microrelief on the treated surface. Keywords: saw blade, abrasive blasting, fiber separation, roughness, pressure, angle of attack, fiber. [email protected]

PENGOLAHAN UDANG PUTIH (Litopenaeus vannamei) KUPAS MENTAH BEKU DI PT. XXX, PONTIANAK-KALIMANTAN BARAT

ABSTRAK Udang vaname (Litopenaeus vannamei) merupakan udang yang saat ini dikembangkan di Indonesia. Produk udang beku merupakan produk yang digemari oleh masyarakat Indonesia. Tujuan dilakukannya penelitian ini yaitu untuk mengetahui mutu bahan baku udang, penerapan rantai dingin dalam proses pengolahan udang PND, mutu produk akhir, rendemen serta produktivitas tenaga kerja di PT.Pulau Mas Khatulistiwa. Bahan baku udang masih tergolong kedalam kategori udang segar dikarenakan rata-rata nilai organoleptiknya 7,6. Kandungan mikroba dalam bahan baku udang masih sesuai dengan standar SNI. Dalam bahan baku udang tidak ditemukan jenis antibiotik kloramfenikol, nitrofuran, maupun tetrasiklin. Produk akhir udang PND memiliki nilai organoleptik 8, kandungan mikrobiologi sesuai dengan standar SNI, dan rata-rata rendemen udang 82,54%. Nilai rata-rata produktifitas tenaga kerja di PT.XXX Pontianak-Kalimantan Barat yaitu 16,22 kg/jam/orang. Kata Kunci: Produk olahan, Udang PND, udang vaname ABSTRACT White shrimp (Litopenaeus vannamei) is a shrimp that is currently being developed in Indonesia. Frozen shrimp products are products that are favored by Indonesian people. The aims of this study were to determined quality of raw materials; cold chain application of PND processing; quality of PND shrimps; yield of product and labor productivity at PT.Pulau Mas Khatulistiwa. Raw material of shrimps were still classified as fresh shrimps (the value of organeoleptic test was 7,6). Microbial testing showed that raw shrimps microbial still fulfill SNI requirements. No antibiotik (chloramphenicol, nitrofuran, tetracyclin) were found in raw materials. Raw PND shrimps had an organoleptic value of 8. Microbiology testing of PND shrimps stil fulfill SNI requirements. Yield of PND was 82,54% and labor productivity was 16,22 kg/hour/labor at PT. XXX Pontianak-West Kalimantan. Keywords: Processed Product, Raw PND, Vaname shrimps

Performance of Five-Axis Machine Tool and Intelligent Machining Process

In this study, the processing performance of a five-axis machine tool was analyzed to identify processing weaknesses as the basis for subsequent structural improvements. Data were then integrated through the Abductory Induction Mechanism (AIM) polynomial neural network to predict intelligent processing quality, and an in-depth investigation was conducted by importing processing parameters to predict the surface quality of the finished product.The finite element analysis method was used to analyze the static and dynamic characteristics of the whole machine and to test the structural modal frequency and vibration shape. For modal testing, the experiment used various equipment, including impact hammers, accelerometers, and signal extractors. Subsequent planning of modal frequency band processing experiments was conducted to verify the influence of natural frequencies on the processing level. Finally, according to the machine processing characteristics, a processing experiment was planned. The measurement record was used as the training data of the AIM polynomial neural network to establish the processing quality prediction model.After analysis and an actual machine test comparison, the three-axis static rigidity values of the machine were X: 1.63 Kg/µm, Y: 1.93 Kg/µm, and Z: 3.95 Kg/µm. The modal vibration shape maximum error of the machine was within 6.2%. The processing quality prediction model established by the AIM polynomial neural network could input processing parameters to achieve the surface roughness prediction value, and the actual relative error of the Ra value was within 0.1 µm.Based on the results of cutting experiments, the influence of the dynamic characteristics of the machine on the processing quality was obtained, especially in the modal vibration environment, which had an adverse effect on the surface roughness. Hence, the surface roughness of the workpiece processed by the machine could be predicted.