Highly crystalline exfoliated MFI‐nanosheets can pave the way for large‐scale deployment of sub‐500‐nm zeolite membranes due to their processing and packing advantages. Exfoliated prepared by melt compounding contain a large amount polymer unexfoliated particles which are detrimental fabrication ultrathin membranes. Complete removal polystyrene from nanosheet suspension in toluene is demonstrated centrifugation across chlorobenzene as confirmed thermogravimetric analysis (TGA) data...

Heat and mass integration to consolidate distillation columns in a multicomponent configuration can lead number of new energy efficient cost‐effective configurations. In this work, powerful simple‐to‐use fact about heat is identified. The newly developed integrated configurations, which we call as HMP involve first introducing thermal couplings all intermediate transfer streams, followed by consolidating associated with lighter pure product reboiler heavier condenser. A systematic method...

Abstract The operating cost of a multicomponent distillation system comprises two major aspects: the overall heat duty requirement and temperature levels at which duties are generated rejected. second aspect, often measured by thermodynamic efficiency system, can be quantified its total exergy loss. In this article, we introduce global optimization framework for determining minimum loss required to distill any ideal or near‐ideal mixture using sequence columns. Desired configurations...

Process Intensification (PI) is an emerging concept in chemical engineering which describes the design innovations that lead to significant shrinkage size and dramatic boost efficiency a process plant. Distillation, one of most important separation technologies industry, therefore crucial component PI. Here, we discuss two aspects PI multicomponent distillation: 1) Performing simultaneous heat mass integration among thermally coupled distillation columns reduce number duty requirement; 2)...

In this work, we introduce MOLA, a multi-block orthogonal long short-term memory autoencoder paradigm, to conduct accurate, reliable fault detection of industrial processes. To achieve this, MOLA effectively extracts dynamic features by introducing an orthogonality-based loss function constrain the latent space output. This helps eliminate redundancy in identified, thereby improving overall monitoring performance. On top structure is proposed, which categorizes process variables into...

Problem Definition: Thanks to the ubiquity of social media and new business model live-streaming e-commerce, online retailing has recently embraced increasing interactions among customers. Such give rise strong network effects, i.e., customers are attracted purchase products with higher sales, raise a crucial challenge for competing retailers: current operations decisions (such as promotion, price, inventory) impact not only market, but also future demands profits all retailers through...

The global agrochemical market is highly consolidated, with large multinational companies accounting for a major share of the market. Thus, even single product, its supply chain typically involves numerous paths connecting raw material sources to final customers. Besides structural complexity, chains are also subject seasonality and other unique uncertainties, thereby posing need risk management tools strategies. In this study, we model optimize an agrochemcial by developing solving...

Modern industrial processes are continuously monitored by a large number of sensors. Despite having access to volumes historical and online sensor data, practitioners still face challenges in the era Industry 4.0 effectively utilizing them perform process monitoring fast fault detection diagnosis. To target these challenges, this work, we present novel framework named �FARM� for Fast, Accurate, Robust Monitoring. FARM is holistic that integrates (a) advanced multivariate statistical control...

In this work, we introduce MOLA: a Multi-block Orthogonal Long short-term memory Autoencoder paradigm, to conduct accurate, reliable fault detection of industrial processes. To achieve this, MOLA effectively extracts dynamic orthogonal features by introducing an orthogonality-based loss function constrain the latent space output. This helps eliminate redundancy in identified, thereby improving overall monitoring performance. On top multi-block structure is proposed, which categorizes process...

As terrestrial resources become increasingly depleted, the demand for deep-sea resource exploration has intensified. However, extreme conditions in environment pose significant challenges underwater operations, necessitating development of robust detection robots. In this paper, we propose an advanced path planning methodology that integrates improved A* algorithm with Dynamic Window Approach (DWA). By optimizing search direction traditional and introducing enhanced evaluation function, our...

Glass antireflection membrane can effectively increase the collection and utilization of sunlight by daylighting equipment, has been widely used in solar energy related fields. Therefore, exploring development high-performance glass is an essential topic current research. This paper introduces general situation preparation technology internationally, especially specific method producing silica sol-gel According to analysis results, significance surfactant which similar Triton X-100 was...

Root-zone soil moisture monitoring is essential for precision agriculture, smart irrigation, and drought prevention. Modeling the spatiotemporal water flow dynamics in typically achieved by solving a hydrological model, such as Richards equation which highly nonlinear partial differential (PDE). In this paper, we present novel data-facilitated numerical method mixed-form equation. This method, call D-GRW (Data-facilitated global Random Walk) synergistically integrates adaptive linearization...