Abstract: The present invention relates to a process for the solidification of hexyl 2-[4-(diethylamino)-2-hydroxybenzoyl]benzoate (INCI diethylamino hydroxybenzoyl hexyl benzoate, DHHB), wherein the process comprises the step of (a) applying a shear rate of 800 s?1 or more to liquid hexyl 2-[4-(diethylamino)-2-hydroxybenzoyl]benzoate and (b) adding seed crystals of hexyl 2-[4-(diethylamino)-2-hydroxybenzoyl]benzoate.

Abstract: The present invention relates to a process for the solidification of hexyl 2-[4-(diethylamino)-2-hydroxybenzoyl]benzoate (INCI diethylamino hydroxybenzoyl hexyl benzoate, DHHB), wherein the process comprises the step of (a) applying a shear rate of less than 800 s?1 to liquid hexyl 2-[4-(diethylamino)-2-hydroxybenzoyl]benzoate and (b) adding seed crystals of hexyl 2-[4-(diethylamino)-2-hydroxybenzoyl]benzoate.

Abstract: A computer implemented method for determining at least one target parameter set for a flow chemistry setup (110) for flow chemistry in slugs is disclosed. The method is a self-learning method. The method comprises the following steps: a) determining at least one process variable by using at least one sensor (122) of a flow chemistry setup (110); b) training of at least one machine-learning model (126) based on the process variable; c) determining the target parameter set by applying an optimizing algorithm in terms of at least one optimization target on the trained machine-learning model (126); d) providing the determined target parameter set and/or considering the determined target parameter set for evaluating a flow chemistry setup (110) and/or for evaluating at least one flow chemistry product.