Bard CH5S1, CH4S1, CH3S1 installation instructions System Refrigerant Pressure Chart

Page 7

TABLE 2

CHARGING PRESSURE LABEL

SYSTEM REFRIGERANT PRESSURE CHART

Return Air

Pressure

 

 

Relative Humidity %

 

 

Temperature

 

 

 

 

 

 

 

50% RH

55% RH

60% RH

65% RH

70% RH

75% RH

80% RH

 

70° DB

Low Side

96

97

98

100

102

104

106

High Side

248

253

258

261

265

269

273

 

75° DB

Low Side

110

112

114

116

117

118

120

High Side

270

276

282

288

294

298

303

 

80° DB

Low Side

115

119

123

127

132

136

140

High Side

297

306

315

324

333

342

351

 

85° DB

Low Side

120

127

134

141

148

153

158

High Side

342

349

356

363

370

375

380

 

Low Side pressure: ±2° High Side Pressure:±5°

Table is based upon rated CFM (airflow) across the Evaporator Coil. If there is any doubt as to the correct operating charge being in the system, the charge should be removed, system evacuated, and recharged to serial plate instructions.

Capacitor for Compressor/Blower Motor: Part #8552-085, 15/5 MFD 370V

7961-679

Manual

2100-506D

Page

7 of 14

Image 7
Contents Bryan, Ohio Bard Manufacturing Company, IncContents For More INFORMATION, Contact These Publishers Getting Other Information and PublicationsGeneral InstallationDescription Shipping DamageSequence of Operation High Pressure Switch and Lockout SequenceLOW Pressure Switch Bypass & Lockout Sequence Pressure Service PortsCH Dehumidifier Performance System Refrigerant Pressure Chart 4056-213 Wire Routing Instructions Low Voltage Wiring Connections 5029716,2125&+681,7 63$*2,16758&7,210$18$/ Manual Cabinet and Functional Components Drawing No. Part No Description Drawing No Description
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CH3S1, CH5S1, CH4S1 specifications

Bard CH3S1, CH4S1, and CH5S1 represent a formidable trio of advanced technologies in the field of AI-driven natural language processing. These models are designed to facilitate seamless communication, enhance productivity, and deliver personalized experiences across various applications.

One of the main features of the Bard CH series is its ability to understand and generate human-like text. This is achieved through deep learning algorithms that analyze vast datasets to learn language patterns, context, and nuances. The CH3S1 model, for instance, excels in basic conversational tasks, making it suitable for customer support, virtual assistants, and simple content generation. Its training allows it to respond efficiently to user inputs while maintaining clarity and engagement.

As we progress to the CH4S1 model, we observe significant enhancements in contextual understanding. This model can handle more complex conversations, making it adept at tasks requiring greater cognitive processing, such as technical support and nuanced dialogue-based applications. The increased parameter count and refined training methods contribute to its ability to grasp intricate sentence structures and varied linguistic styles, leading to more coherent and relevant responses.

Building upon the capabilities of its predecessors, the CH5S1 model represents the pinnacle of the Bard CH series. It integrates advanced features such as multi-modal processing, allowing it to work with text, images, and even sound. This model is engineered to perform in more specialized fields, such as healthcare, legal, and creative writing, where precise language and context are critical. The CH5S1 leverages feedback loops from real-time interactions to continuously improve its understanding and output, making it not only a tool for communication but also an intelligent partner for businesses and individuals alike.

In terms of technology, all three models utilize transformer architecture, which has proven effective in tasks requiring attention and context retention. They also implement reinforcement learning techniques to adapt and refine their models based on user engagement data. Furthermore, security and data privacy are prioritized, with strict adherence to ethical AI guidelines to ensure user trust.

Overall, the Bard CH series signifies a leap forward in artificial intelligence, combining advanced linguistic capabilities with a user-centric approach, thus redefining how we interact with machines and enhancing our digital experiences.