Centrifugal Processing on Aspheric Mirror Blank of Optical Glass Material

The manufacturing technology of aspheric optical components is not only a difficult problem in the field of advanced optical manufacturing, but also an important symbol to measure the development level of a country's manufacturing industry. The traditional aspheric optical component processing method has the disadvantages of long processing time, large waste of materials and high processing cost. Aspherical mirror by centrifugal casting is a new processing technology. it can save a large amount of material, reduce processing time, suitable for producing various sizes of aspheric optical elements, especially in processing large size aspheric lens have obvious advantages. In this paper, the processing technology of aspherical mirror blank is introduced. Experiment with rosin, which simulation process of glass by centrifugal melt casting. The shape of the aspherical mirror is calculated by calculating. After the experiment of K9 material, the surface of optical glass is obtained. The feasibility of this method is proved by experiments. It is proved that this method can be used to manufacture aspheric mirror.

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USULAN PENJADWALAN PRODUKSI PRODUK ST 37777 PT EBAKO NUSANTARA PADA DEPARTEMEN SMOOTHMILLING UNTUK MEMINIMASI MAKESPAN

J TI UNDIP JURNAL TEKNIK INDUSTRI ◽

10.14710/jati.13.1.61-66 ◽

2018 ◽

Vol 13 (1) ◽

pp. 61

Author(s):

Mellysa Asmawar

Keyword(s):

Production Process ◽

Processing Time ◽

Manufacturing Industry ◽

Job Scheduling ◽

Makespan Minimization ◽

Central Java ◽

Short Processing Time ◽

Jobshop Scheduling ◽

Machine Work

AbstrakProses produksi ST 37777 di PT Ebako Nusantara menggunakan jadwal yang didasarkan oleh proses-proses yang dilakukan dengan menggunakan data historis yang telah ada dari proses produksi yang telah dilakukan. PT Ebako Nusantara merupakan industri manufaktur yang bergerak di bidang furnitur yang berlokasi di Terboyo, Semarang, Jawa Tengah. Dalam proses produksi ST 37777, terdapat 11 mesin dan 16 job dimana setiap job memiliki urutan mesin yang berbeda. Penjadwalan yang ada untuk produk tipe ST 37777 dengan tipe jobshop belum menerapkan suatu ketetapan dalam penentuan waktu dan urutan pengerjaan mesin yang efektif sehingga masih banyak job yang selesai terlambat. Untuk itu diperlukan suatu penjadwalan mesin yang efektif sehingga dapat memenuhi waktu produksi pesanan sesuai dengan yang telah disepakati. Penjadwalan jobshop diperlukan untuk memaksimumkan efisiensi dan utilitas sumber daya di lantai produksi. Penentuan jadwal mesin ini bertujuan meminimasi makespan dengan menggunakan Software WINQSB modul job schedulling. Metode yang digunakan adalah metode Short Processing Time. Hasil penjadwalan menggunakan Software WINQSB diperoleh makespan menjadi 15 jam dengan hasil penjadwalan tersebut tidak ada job yang terlambat dan semua job dikerjakan berurutan. AbstractThe production process of ST 37777 in PT Ebako Nusantara uses a schedule based on the processes performed using existing historical data from the production process that has been done. PT Ebako Nusantara is a manufacturing industry engaged in furnitur located in Terboyo, Semarang, Central Java. In the production process ST 37777, there are 11 machines and 16 jobs where each job has a different sequence of machines. The existing scheduling for ST 37777 type product with jobshop type has not been applied a determination in the timing and sequence of effective machine work so that many jobs are finished too late. For that required an effective engine scheduling so that it can meet the production time of orders in accordance with the agreed. Jobshop scheduling is needed to maximize efficiency and resource utilities on the production floor. Determination of this machine schedule aims to minimize the makespan using WINQSB Software job scheduling module. The method used is the method of Short Processing Time. The scheduling result using WINQSB software obtained makespan to 15 hours with scheduling result no job is late and all job done in sequence. Keywords: Jobshop Scheduling; Short Processing Time; Makespan Minimization

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New Processing Technology of Twin Roll Strip Casting of AZ31B Magnesium Strip

Materials Science Forum - Magnesium – Science, Technology and Applications ◽

10.4028/0-87849-968-7.615 ◽

2005 ◽

pp. 615-618

Author(s):

Hong Shuang Di ◽

Yong Lin Li ◽

Zhong-liang Ning ◽

Zheng Li ◽

Xiang Hua Liu ◽

...

Keyword(s):

Strip Casting ◽

Processing Technology ◽

New Processing ◽

Twin Roll

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A new processing technology of solidified soybean yogurt

Computational Intelligence in Industrial Application ◽

10.1201/b18590-72 ◽

2015 ◽

pp. 371-376

Author(s):

XingRong Liu ◽

HaiLe Ma ◽

ChuanJun Li

Keyword(s):

Processing Technology ◽

New Processing

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A Face Clustering Method for a Hexahedral Meshing

Volume 2: 29th Design Automation Conference, Parts A and B ◽

10.1115/detc2003/dac-48776 ◽

2003 ◽

Author(s):

Jun Doi ◽

Atsushi Yamada ◽

Keisuke Inoue

Keyword(s):

Manufacturing Industry ◽

Dimensional Space ◽

Difficult Problem ◽

Hexahedral Mesh ◽

Element Analysis ◽

Intermediate Model ◽

3 Dimensional ◽

Face Clustering ◽

Hexahedral Meshes

Finite element analysis has become a key technology for a design process of manufacturing industry. A hexahedral mesh is focused, because using a hexahedral mesh increases the quality of analysis. However it is very difficult problem to generate high quality hexahedral meshes, and there are many challenging research topics. Our goal is to develop a method to generate hexahedral meshes automatically to general volumes. Our method uses an intermediate model to recognize the input volume. The intermediate model is defined in the integer 3-dimensional space, and faces of the intermediate model are vertical to coordinate axes. Hexahedral mesh is generated by dividing the intermediate model into integer grids, and blocks of grids are projected into original volume. In this paper, we describe the method to generate a topology of the intermediate model. We use face clustering technique to generate the topology of the intermediate model. The faces of the input volume are clustered into 6 types; according to 3 coordinate axes and its direction, and clustered faces will be the faces of the intermediate model.

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Two methods for processing yield maps from multiple sensors in large vineyards in California

Advances in Animal Biosciences ◽

10.1017/s2040470017000516 ◽

2017 ◽

Vol 8 (2) ◽

pp. 530-533 ◽

Cited By ~ 3

Author(s):

B. Sams ◽

C. Litchfield ◽

L. Sanchez ◽

N. Dokoozlian

Keyword(s):

Processing Time ◽

Fruit Weight ◽

Wine Grape ◽

Total Processing Time ◽

Yield Mapping ◽

Processing Methods ◽

Multiple Sensors ◽

Level Method ◽

Mapping Techniques ◽

New Processing

Yield mapping techniques have only recently started to be implemented by the Californian wine grape industry, but the advancement has necessitated new processing methods for large vineyards. The process for mapping large blocks harvested with multiple machines has only recently occurred and implies that their yield monitors have to be calibrated and corrected to the same scale. Here we discuss two methods for processing yield maps at the commercial level. Method 1 depends on many calibrations with delivered fruit weight to a winery. Method 2 normalizes raw files automatically can reduce total processing time by up to 90%.

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