人造板制造

第三部分介绍了我国人造板制造业的发展情况。

The third part describes the development of Chinese plywood industry .

用人造板制造的家具。

Furniture made of artificial board ;

无胶人造板制造工艺的研究

Study on Processes of Self-bonding Composites

高中密度稻秸人造板制造技术与产业化&技术基础研究

Manufacture Technics and Industrialization of High and Medium Density Rice Straw Based Panei & Study of Technical Basis

宽带砂光机是人造板制造业中的关键设备，其砂架部件为核心部件之一。

The wide belt sander is a key equipment in the artificial panel manufacture industry , its grinding shelf parts are one of central parts .

浅析金融海啸对中国人造板机械制造业发展的影响

Analyzing the affection of financial tsunami on Chinese WBP industry

用科学发展观展望我国人造板机械制造行业的发展趋势

Prospecting the Development Trend of China 's Wood-based Panel Machinery Manufacturing Industry with the Concept of Scientific Development

人造板加工制造在线测控技术中复合多功能传感器的设计

Design of A Compound Multi-functional Sensor for Online Testing and Controlling Technology of Wood-based Panel Processing and Manufacturing

利用花生壳提取物制造木材用胶粘剂，其性能比良，适用于人造板的制造。

A kind of wood adhesive prepared by extracting peanut hull offers excellent properties and it is suitable to make artificial fabric board .

连续生产中、高密度薄板的方式是采用连续双钢带冷热压机，而国内人造板设备制造行业尚无制造连续双钢带冷热压机的能力。

Continuous double steel belts cold-hot press is necessary for producing thin MDF / HDF board . However , this kind of press is now unavailable in domestic WBP machines manufacturing field .

本文简要论述了目前人造板在家具制造过程中所需要的规范、规定及标准，并指出了须补充完善的项目。

This paper briefly states the criterion , provision and standard of panel in furniture manufacture , introduces the projects that should be perfected .

在人造纤维板生产制造过程中，热压是关键工序之一，它对产品质量和产量起着决定性的作用。

During the production of man-made fiber board , hot-pressing is one of the crucial working procedures . It has a decisive effect on products ' quality and output .

之后根据木材加工工业中人造板行业和家具制造行业的各自特点，对两个行业选取不同的影响因素，并对各影响因素进行量化，计算出与各地区产品产值的相关系数；

After select different influencing factor according to each characteristic of wood-based panel profession and furniture production profession in timber processing industry , for two professions , and quantify for each influencing factor , calculate the correlation coefficient with the product output value of various places ;