Sirca Paints India Interview Questions, Process, and Tips

Aptitude test with analytical skills required

Q1. What is distillation
Ans. 
Distillation is a process of separating components of a liquid mixture based on differences in boiling points.
• Distillation involves heating the liquid mixture to create vapor, then cooling the vapor to collect the separated components.

• The component with the lower boiling point will vaporize first and be collected, leaving behind the component with the higher boiling point.

• Examples of distillation include the separation...read more
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Q2. Where we use vacuum distillation
Ans. 
Vacuum distillation is used in industries such as petrochemical, pharmaceutical, and food processing to separate components with high boiling points.
• Used in petrochemical industry to separate high boiling point components like lubricating oils and waxes

• Utilized in pharmaceutical industry to purify chemicals and separate compounds with similar boiling points

• Commonly used in food processing to extract flavors and fragran...read more
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Q3. What is adsorption
Ans. 
Adsorption is the process in which molecules or particles adhere to the surface of a solid or liquid material.
• Adsorption involves the accumulation of molecules or particles on the surface of a material.

• It is a surface phenomenon, different from absorption where a substance is taken into the bulk of another material.

• Examples include the adsorption of pollutants onto activated carbon in water treatment processes.
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Q4. What are different types of separation methods
Ans. 
Different types of separation methods include filtration, distillation, chromatography, and centrifugation.
• Filtration: Separates solids from liquids or gases using a porous material.

• Distillation: Separates components based on differences in boiling points.

• Chromatography: Separates components based on their affinity for a stationary phase.

• Centrifugation: Separates components based on differences in density and size.
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Q5. What projects have you done in M.Tech
Ans. 
I have worked on projects related to machine learning, data analysis, and optimization algorithms during my M.Tech.
• Developed a machine learning model to predict customer churn in a telecom company

• Implemented data analysis techniques to identify patterns in stock market data

• Optimized scheduling algorithms for a manufacturing plant to minimize downtime
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