Terephthalic acid is an aromatic carboxylic acid core to polyester fibers production. A large
majority of the production of terephthalic acid is via aerobic catalytic oxidation of p-xylene …

The oxidation of para-xylene to terephthalic acid has been commercialised as the AMOCO
process (Co/Mn/Br) that uses a homogeneous catalyst of cobalt and manganese together …

Fusarium is a common fungal disease in grains that reduces the yield of barley and wheat.
In this study, a near infrared reflectance spectroscopic technique was used with a statistical …

We present two data-driven modeling methods, partial least square (PLS) and artificial
neural network (ANN), to predict the major operating and performance variables of a …

Selection of the most relevant input variables for an inferential predictor is important for good
prediction ability. A hybrid variable selection method is proposed for selecting input …

Improvement of process efficiency and reduction of operation costs are of significant
importance in industrial chemical plants. In this study, an effective approach is proposed to …

The goal of this paper is to identify and control multi-input multi-output (MIMO) processes by
means of the dynamic partial least squares (PLS) model, which consists of a memoryless …

Maintaining the best quality is essential for the survival of a company in a globally
competitive world. Six Sigma activity has been widely accepted as one of the most efficient …

Among the processes in petrochemical industry, hydroprocessing is an imperative process
to produce clean fuels. This process is still being improved despite its 70-year maturity …

The large‐scale production of terephthalic acid (TPA) is currently based on the two‐step
technology, with oxidation of p‐xylene in an acetic acid solution containing a Co/Mn/Br …