On Demand Webinar

Aspen Polymersによる逐次重合モデルの紹介

Aspen Polymersを活用し逐次重合モデルを構築できます。実験データから反応速度パラメータを回帰し、バッチ/連続重合シミュレーションでポリマー物性を予測します。 モデルを活用することで、実験回数の削減、運転条件の最適化検討が可能となります。

Specialty Chemicals

スペシャリティケミカル

Bulk Chemicals

バルクケミカル

On-Demand Webinar

실시간 증류탑 모델링을 통한 운전 의사 결정 향상

화학 산업은 제조 운전 과정에서 엄청난 양의 공정 데이터가 실시간으로 생성됩니다. 이 데이터는 많은 정보를 담고 있으며, 공정 모델링을 함께 적용하는 경우, 보다 나은 운전 의사 결정을 내릴 수 있는 통찰력을 제공할 수 있습니다. 본 웨비나는 증류탑 성능 향상 방안을 모색하고 있는 프로세스 엔지니어와 운전 담당자들을 대상으로 합니다.

On-Demand Webinar

Momentive Boosts Customer Service and Profitability With Detailed Scheduling and Finite Capacity Optimization

During this free webinar, Michael Reifer, leader of Momentive’s Sales, Inventory and Operations Planning (SIOP) Center of Excellence, and Aaron Hunt, SCM senior technical manager, will discuss how the company’s silicone and quartz business units excel at detailed scheduling and finite capacity optimization in both manufacturing and stock transfer scheduling. Additionally, they will share how Momentive’s SIOP Center of Excellence plays a key role in supporting sustainable talent and process development.

On-Demand Webinar

Streamline Concurrent Simulation Scenarios to Solve Problems Faster

Today, it’s more important than ever to perform rigorous optioneering to find the best solutions for improving process efficiency and asset flexibility. In this webinar, AspenTech’s experts will show how the new Aspen Multi-Case™ dramatically accelerates the evaluation of design and operating scenarios, provides visual tools for selecting the best alternatives and improves overall agility and collaboration across the engineering team.

On-Demand Webinar

On-Demand Webinar - Taming the Lion: Improving Plant Operations through Inferential Modeling featuring Dow Chemical

Widely used in various chemical manufacturing processes, inferential property models enable improved control by providing estimated properties in real-time. During this webinar, one of Dow Chemical’s APC engineers will discuss the practical application of inferential models as feed forwards in Aspen DMCplus® to manage the inventory of a reactor where the composition and flows into the recycle feed change over time.

On-Demand Webinar

The Connected Plant: Transforming Data into Value

Possessing the data is one thing; however, understanding your data and its value is something different. Join ARC Advisory Group and AspenTech for a webinar to learn how to leverage your data using transformational technologies to drive operational excellence with manufacturing execution systems (MES). Janice Abel of ARC will lead an interactive discussion around key technology trends, benefits and innovations and what’s important in the process industries.

On-Demand Webinar

Improve Product Quality with Solids Process Models

Accurately modelling the solids section of a process is critical to product quality. Commonly, the solid and fluid sections of a process are modelled separately, making troubleshooting and optimizing inefficient and time-consuming. Additionally, solids are described by distributed properties rather than concentrated properties, which adds an extra level of complexity. These difficulties often lead to neglected or over-simplified solids modelling. With the latest innovations in Aspen Plus® engineers can develop solid-fluid integrated flowsheets without deep expertise; model solids processes such as grinding, separation, crystallization, and drying; and size equipment to avoid bottlenecks and overdesign. View this webinar and learn directly from AspenTech experts how you can leverage the latest enhancements to Aspen Plus to model solids processes.

On-Demand Webinar

Improve Your Operational Decisions through Real-Time Distillation Columns Modeling

Chemical manufacturing operations provide a huge amount of process data generated in real time. This data is a wealth of information and can provide insight into better operational decision-making when tied to process modeling. Our webinar is designed for both process engineers and operators seeking to improve their distillation column performance.

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