BİLDİRİLER

BİLDİRİ DETAY

Aslı GÖK, Yavuz Selim AŞÇI, Mehmet Koray GÖK, Halil GAMSIZKAN
MODELING OXALIC ACID REMOVAL BY ADSORPTION FROM WATER USING RESPONSE SURFACE METHODOLOGY-ARTIFICIAL NEURAL NETWORK APPROACH
 
Oxalic acid is a carboxylic acid which widely used in industries. It can be used as precipitator and rust remover in metal processing processes, the purifying agent in the pharmaceutical industry and as a bleaching agent in the textile industry. Carboxylic acids produce via the fermentation process in the industry. Fermentation process final product is an aqueous solution of water and acid mixture. There are different separation process to separation acid from water such as liquid extraction, liquid membranes, precipitation, distillation. Adsorption processes are also an alternative too. In this study adsorption of oxalic acid from water with LDH ( Layered Double Hydroxide) was investigated. LDH is also known as an anionic clay. It is an inorganic material, and chemical compositions are described with the general formula; [MII 1−xMIIIx(OH)2] x+ [An− x/n·yH2O]x‑ where MII and MIII are divalent and trivalent metal cations and An− is an n-valent anion. LDH is a useful adsorbent due to ion exchange capacity. Mg-Al-Cl LDH was synthesized using the coprecipitation method under an inert atmosphere at room temperature for experiments. Time, initial acid concentration, temperature and, the adsorbent dosage is chosen as variables and the results analyzed with both Response Surface Methodology (RSM) and Artificial Neural Network Approach (ANN). 54 experiment performed during studies and % removal was measured and optimized.

Anahtar Kelimeler: Oxalic Acid, Adsorption, LDH



 


Keywords: