Recipe_and_Properties_of_Leathers
Description
This dataset comprises a comprehensive collection of chemical formulations and process parameters used in the leather manufacturing industry, specifically within a product development laboratory setting in Samina Tannery (Pvt) LTD situated in Savar, Bangladesh . The dataset was generated through a series of controlled experiments aimed at optimizing leather properties by varying the types and quantities of chemicals used during different stages of the tanning and finishing processes. The columns in the dataset represent various chemicals and additives used in leather processing, including soaking agents, unhairing surfactants, liming auxiliaries, deliming agents, degreasing agents, tanning chemicals, and various other functional ingredients. Additionally, the dataset includes process parameters such as pH levels, temperatures, and runtime of the paddle drum during the processing stages. The resulting leather samples were rigorously tested to evaluate their physical and mechanical properties, such as shrinkage temperature, tensile strength, elongation at break, bursting strength, ball burst load, distension at ball burst, tear strength, distension at grain crack, and the degree of tannage. These measurements provide critical insights into how different chemical formulations and process conditions affect the final quality of the leather. The dataset is valuable for machine learning and deep learning applications, particularly in predictive modeling. It can be used to develop models that predict the physical and mechanical properties of leather based on the chemical formulations and processing conditions. Such models could assist in optimizing leather manufacturing processes to achieve desired properties, thus contributing to quality control and innovation in the leather industry.