In this paper, the mechanical behavior of concrete twin-shaft mixers is analyzed in terms of power consumption and exchanged forces between the mixture and the mixing organs during the mixing cycle. The mixing cycle is divided into two macro phases, named transient and regime phase, where the behavior of the mixture is modeled in two different ways. A force estimation and power consumption prediction model are presented for both the studied phases and they are validated by experimental campaigns. From the application of this model to different machines and by varying different design parameters, the optimization of the power consumption of the concrete twin-shaft mixers is analyzed. Results of this work can be used to increase productivity and profitability of concrete mixers and reduce energy waste in the industries which involve mixing processes.Machines 2019, 7, 39 2 of 13 phenomena such as power consumption, wear [27][28][29][30] and friction among mixing components and mixtures [31] and to predict the useful life of the mechanical mixing organs [32,33].Concrete mixers can work by exploiting different geometrical configurations based on the positions of the mixing shafts and on the machine kinematics [34].In this paper, the study and optimization of a twin-shaft horizontal mixer are presented and discussed. The aim of the paper is to present a model to study the mechanical behavior of twin-shaft mixers, based on the prediction of the exchanged forces between the mixture and the mixing organs and the power consumption when design parameters vary in a realistic production range. The presented model is based on the soil mechanics and foundations theory differently from the models proposed in the state of the art.The evaluation of power consumption is done in the transient and regime phases of the mixing procedure, and the model is validated by means of experimental tests in a real production plant. Then it is applied to different machine models and sizes to define optimal design parameters.The main studied design parameters influenced by the optimization process are the mixing blades and arms size and shape, the radius and length of the tank, the shaft spacing, the processed concrete volume, and the filling level.