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工艺制造

大批量生产商品的行业(包括制药、食品、化学品或化妆品)都在设法提高产品质量并加快产品上市速度。 为了实现这些目标,工程师和科学家越来越多地通过仿真进行研究、开发以及改进工艺。 采用计算机辅助工程 (CAE) 工具可以缩短开发周期,减少物理样机和测试,从而降低成本。

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工艺制造

制造商现在能够使用仿真建模和智能制造原理来优化工艺,从而提高生产力和盈利能力。

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Bunkers in a mechanism oversee the efficiency of the manufacturing process

提升工艺效率

工艺制造行业借助计算机仿真技术可以更好地了解制造工艺,深入洞察原本很困难或者无法实现的操作。 这样可以提高工艺效率,并有助于推动产品和工艺创新。

A picture includes various appliances

提升产品质量

数值仿真技术提供了可控制产品一致性和质量的方法。 它能帮助公司制定新的工艺策略,评估工艺设计效果并根据产品特性扩大规模。 它是一种功能强大的预测工具,有助于推动连续制造的应用。

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A picture with a container and liquid

混合

Altair® EDEM™ 能够对粉末、片剂、混凝土和其他颗粒材料的混合过程进行仿真。 它能提供诸如颗粒速度、颗粒轨迹之类的基本信息,并能预测混合和分离速率以及识别混合盲区。 这使得操作员可以根据冲击速度、填充率和倾斜角度等信息,对设备的工艺操作参数进行优化,并评估混合效率。

A fluid-filled container with a geometric shape

片剂包衣

包衣均匀性对于片剂包衣工艺至关重要。 借助 EDEM,用户可以获得各种关键参数,例如,片剂在包衣喷雾下的停留时间、片内包衣变异性以及片剂速度模式,其中许多参数很难甚至无法通过实验获得。 另外,还可以使用 EDEM 研究片剂形状、滚筒速度和填充水平对包衣工艺的影响。

Die filling process in power metallurgy mechanism

充模

充模是制药和粉末冶金等众多行业中的常见工艺。 确保工艺一致性非常重要,因为这会影响最终产品或组件的质量。 用户可以使用 EDEM 评估各种关键参数的影响,了解供料机架内颗粒的微观和宏观动力学特性以及供料机架内和充模工艺中的偏析现象。

A slab of finely ground powder

铺粉和耙粉

增材制造 (AM) 中的铺粉工艺对最终产品的特性和质量具有重大影响。 用户可以使用 EDEM 对该工艺进行仿真,研究不同操作参数(如滚筒速度)对粉末床质量的影响并评估粉末铺展的均匀性。 EDEM 可以应用于 AM 工艺的各个环节,包括粉末输送、铺展和清洁操作。

A rectangular slab with coarse particles in it

流化床

流化床在工业中非常普遍,特别是在化学加工领域,可用于多种工艺,例如,冷冻、冷却、加热和涂覆。 通过使用 Altair CFD™EDEM 可将计算流体动力学 (CFD) 和离散元素建模 (DEM) 进行耦合计算,企业可以对流化床和其他颗粒流体系统进行准确仿真。 DEM-CFD 能够提供关键信息,可用于评估流化质量并了解混合和偏析现象。

A conveyor mechanism to transport granular materials

输送设备

螺旋输送机在许多行业中常用于输送颗粒材料。 借助 EDEM,企业可以分析输送机中不同材料的流速,了解作用于设备上的力及设备的磨损情况。 可以使用 EDEM 预测任何堵塞风险,对材料执行混合和压缩评估,以及了解系统容量和功率要求。

特色资源

Guide to Process Manufacturing

Any industry that produces bulk quantities of goods such as pharmaceuticals, food, chemicals, or cosmetics, is seeking to produce these products consistently while reducing cost factors like waste and down time. Due to the nature of process manufacturing, multiple ingredients are combined to be mixed, coated, or sorted, so understanding the behavior of these processes is of paramount importance for manufacturers. Through the use of simulation modeling and Smart Manufacturing principals, manufacturers are now able to optimize these processes, leading to greater productivity and profitability.

eGuide

Virtual Panel - Using the Discrete Element Method to Simulate Pharmaceutical Manufacturing Processes

Watch this virtual panel presentation & discussion to hear insights from 4 industry experts on the use of the Discrete Element Method as a modelling tool for optimizing pharmaceutical manufacturing processes. Topics covered: • Challenges of understanding powder systems • Typical DEM applications in process and product development: mixing, coating, die filling, etc. • Regulatory framework: using models for regulatory purposes • Digital design / digital twin • How DEM can help fast and efficient drug development and manufacturing in the current context Guest speakers: Dr. Fernando Muzzio Distinguished Professor of Chemical and Biochemical Engineering Rutgers University Dr. Liang Li Process Engineering Scientist The Janssen Pharmaceutical Companies of Johnson & Johnson Dr. Nima Yazdanpanah Principal Procegence Dr. Maitraye Sen Senior Consultant Engineer Eli Lilly and Company
网络研讨会

Using EDEM at Astec, Inc.

Andrew Hobbs, Chief DEM/CFD Engineer at Astec, Inc. shares his experience using EDEM software. Astec is a global leader in the hot mix asphalt plant industry and Andrew's main focus in on applying fluid and particle simulation to better understand and improve hot mix asphalt equipment design.

In this video he discusses what key applications he uses EDEM for, the key benefits Astec gets from it as well as his thoughts on the future of simulation.

Testimonial

Go With the Flow: When DEM Meets CFD

Experimentations on multiphase flow systems are of crucial importance in research and engineering. However, they are lengthy, expensive, tedious and challenging. In many cases, it is not possible to conduct experiments on the micro and meso scales and that is why most industrial processes fail at the early stages of development, design and operation. With the constant evolution of efficient computational tools, we now can analyze these issues and provide solutions. CFD-DEM has found a wide range of applications in nearly all systems dealing with solids of various fields of science, engineering and technology such as chemical, food, pharmaceutical, biochemical, mechanical, energy, material and mineral engineering. The concepts of CFD and DEM are introduced along with their coupling. The commercial tools - EDEM (DEM) and AcuSolve (CFD) are reviewed and their key features are detailed.

Presented as part of the virtual ATCx DEM in November 2022.
Speaker: Jerrin Job Sibychan, Application Engineer, Altair
Duration: 15 minutes

ATCx DEM
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